바비카

참조:

• 암호
• 허깅페이스

en-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

엔카4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

ko-10k-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-10k-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

en-valid-10k-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/en-valid-10k-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

hn-10k-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/hn-10k-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa1

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa1')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa2

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa2')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa3

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa3')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa4

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa4')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa5

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa5')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa6

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa6')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa7

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa7')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa8

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa8')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa9

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa9')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa10

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa10')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa11

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa11')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa12

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa12')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa13

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa13')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa14

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa14')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa15

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa15')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa16

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa16')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa17

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa17')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa18

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa18')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa19

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa19')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : Creative Commons Attribution 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

셔플-10k-qa20

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:babi_qa/shuffled-10k-qa20')

• 설명 :

The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
comprehension via question answering. Our tasks measure understanding
in several ways: whether a system is able to answer questions via chaining facts,
simple induction, deduction and many more. The tasks are designed to be prerequisites
for any system that aims to be capable of conversing with a human.
The aim is to classify these tasks into skill sets,so that researchers
can identify (and then rectify)the failings of their systems.

• 라이선스 : 크리에이티브 커먼즈 저작자 표시 3.0 라이선스
• 버전 : 1.2.0
• 분할 :

• 특징 :

{
    "story": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 2,
                "names": [
                    "context",
                    "question"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "supporting_ids": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}