break_data

참고자료:

QDMR-고수준

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:break_data/QDMR-high-level')

설명 :

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. 
This repository contains the Break dataset along with information on the exact data format.

라이센스 : 알려진 라이센스 없음
버전 : 1.0.0
분할 :

나뉘다	예
`'test'`	3195
`'train'`	17503
`'validation'`	3130

특징 :

{
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "decomposition": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "operators": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "split": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

QDMR-고수준 어휘집

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:break_data/QDMR-high-level-lexicon')

설명 :

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. 
This repository contains the Break dataset along with information on the exact data format.

라이센스 : 알려진 라이센스 없음
버전 : 1.0.0
분할 :

나뉘다	예
`'test'`	3195
`'train'`	17503
`'validation'`	3130

특징 :

{
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "allowed_tokens": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

QDMR

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:break_data/QDMR')

설명 :

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. 
This repository contains the Break dataset along with information on the exact data format.

라이센스 : 알려진 라이센스 없음
버전 : 1.0.0
분할 :

나뉘다	예
`'test'`	8069
`'train'`	44321
`'validation'`	7760

특징 :

{
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "decomposition": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "operators": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "split": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

QDMR 어휘집

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:break_data/QDMR-lexicon')

설명 :

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. 
This repository contains the Break dataset along with information on the exact data format.

라이센스 : 알려진 라이센스 없음
버전 : 1.0.0
분할 :

나뉘다	예
`'test'`	8069
`'train'`	44321
`'validation'`	7760

특징 :

{
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "allowed_tokens": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

논리형

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:break_data/logical-forms')

설명 :

Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. 
This repository contains the Break dataset along with information on the exact data format.

라이센스 : 알려진 라이센스 없음
버전 : 1.0.0
분할 :

나뉘다	예
`'test'`	8006
`'train'`	44098
`'validation'`	7719

특징 :

{
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "decomposition": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "operators": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "split": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "program": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}