제네릭_kb

참고자료:

• 암호
• 포옹하는 얼굴

generics_kb_best

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:generics_kb/generics_kb_best')

• 설명 :

The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large-scale resource containing naturally occurring generic sentences (as opposed to extracted or crowdsourced triples), and is rich in high-quality, general, semantically complete statements. Generics were primarily extracted from three large text sources, namely the Waterloo Corpus, selected parts of Simple Wikipedia, and the ARC Corpus. A filtered, high-quality subset is also available in GenericsKB-Best, containing 1,020,868 sentences. We recommend you start with GenericsKB-Best.

• 라이센스 : cc-by-4.0
• 버전 : 1.0.0
• 분할 :

나뉘다	예
'train'	1020868

• 특징 :

{
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "term": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifier_frequency": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifier_number": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "generic_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    }
}

generics_kb

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:generics_kb/generics_kb')

• 설명 :

The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large-scale resource containing naturally occurring generic sentences (as opposed to extracted or crowdsourced triples), and is rich in high-quality, general, semantically complete statements. Generics were primarily extracted from three large text sources, namely the Waterloo Corpus, selected parts of Simple Wikipedia, and the ARC Corpus. A filtered, high-quality subset is also available in GenericsKB-Best, containing 1,020,868 sentences. We recommend you start with GenericsKB-Best.

• 라이센스 : cc-by-4.0
• 버전 : 1.0.0
• 분할 :

나뉘다	예
'train'	3433000

• 특징 :

{
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "term": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifier_frequency": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifier_number": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "generic_sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    }
}

generics_kb_simplewiki

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:generics_kb/generics_kb_simplewiki')

• 설명 :

The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large-scale resource containing naturally occurring generic sentences (as opposed to extracted or crowdsourced triples), and is rich in high-quality, general, semantically complete statements. Generics were primarily extracted from three large text sources, namely the Waterloo Corpus, selected parts of Simple Wikipedia, and the ARC Corpus. A filtered, high-quality subset is also available in GenericsKB-Best, containing 1,020,868 sentences. We recommend you start with GenericsKB-Best.

• 라이센스 : cc-by-4.0
• 버전 : 1.0.0
• 분할 :

나뉘다	예
'train'	12765

• 특징 :

{
    "source_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentences_before": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "sentences_after": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "concept_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifiers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "bert_score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    },
    "headings": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "categories": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

generics_kb_waterloo

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:generics_kb/generics_kb_waterloo')

• 설명 :

The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems requiring general world knowledge. The GenericsKB is the first large-scale resource containing naturally occurring generic sentences (as opposed to extracted or crowdsourced triples), and is rich in high-quality, general, semantically complete statements. Generics were primarily extracted from three large text sources, namely the Waterloo Corpus, selected parts of Simple Wikipedia, and the ARC Corpus. A filtered, high-quality subset is also available in GenericsKB-Best, containing 1,020,868 sentences. We recommend you start with GenericsKB-Best.

• 라이센스 : cc-by-4.0
• 버전 : 1.0.0
• 분할 :

나뉘다	예
'train'	3666725

• 특징 :

{
    "source_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentences_before": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "sentences_after": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "concept_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "quantifiers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "bert_score": {
        "dtype": "float64",
        "id": null,
        "_type": "Value"
    }
}