엘카르히즈케타크

참고자료:

• 암호
• 포옹하는 얼굴

일반 텍스트

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:elkarhizketak/plain_text')

• 설명 :

ElkarHizketak is a low resource conversational Question Answering
(QA) dataset in Basque created by Basque speaker volunteers. The
dataset contains close to 400 dialogues and more than 1600 question
and answers, and its small size presents a realistic low-resource
scenario for conversational QA systems. The dataset is built on top of
Wikipedia sections about popular people and organizations. The
dialogues involve two crowd workers: (1) a student ask questions after
reading a small introduction about the person, but without seeing the
section text; and (2) a teacher answers the questions selecting a span
of text of the section.

• 라이센스 : 크리에이티브 커먼즈 저작자표시-동일조건변경허락 4.0 국제 공중 라이센스(CC BY-SA 4.0)
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "dialogue_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "wikipedia_page_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "background": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "section_title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "turn_ids": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "questions": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "yesnos": {
        "feature": {
            "num_classes": 3,
            "names": [
                "y",
                "n",
                "x"
            ],
            "id": null,
            "_type": "ClassLabel"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answers": {
        "feature": {
            "texts": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "answer_starts": {
                "feature": {
                    "dtype": "int32",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            },
            "input_texts": {
                "feature": {
                    "dtype": "string",
                    "id": null,
                    "_type": "Value"
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "orig_answers": {
        "texts": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "answer_starts": {
            "feature": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        }
    }
}