qa4mre

তথ্যসূত্র:

2011.main.DE

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2011.main.DE')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 120
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2011.main.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2011.main.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 120
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2011.main.ES

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2011.main.ES')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 120
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2011.main.IT

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2011.main.IT')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 120
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2011.main.RO

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2011.main.RO')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 120
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.AR

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.AR')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.BG

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.BG')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.DE

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.DE')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.ES

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.ES')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.IT

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.IT')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.main.RO

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.main.RO')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 160
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2012.alzheimers.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2012.alzheimers.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 40
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.main.AR

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.main.AR')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 284
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.main.BG

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.main.BG')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 284
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.main.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.main.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 284
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.main.ES

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.main.ES')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 284
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.main.RO

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.main.RO')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 284
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.alzheimers.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.alzheimers.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 40
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

2013.entrance_exam.EN

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:qa4mre/2013.entrance_exam.EN')
  • বর্ণনা :
QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in 
question answering and reading comprehension. The dataset contains a supporting 
passage and a set of questions corresponding to the passage. Multiple options 
for answers are provided for each question, of which only one is correct. The 
training and test datasets are available for the main track.
Additional gold standard documents are available for two pilot studies: one on 
alzheimers data, and the other on entrance exams data.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.1.0
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 46
  • বৈশিষ্ট্য :
{
    "topic_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "test_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "document_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer_options": {
        "feature": {
            "answer_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_str": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "correct_answer_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "correct_answer_str": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}