multi_nli, multi_nli

참고자료:

• 암호
• 포옹하는 얼굴

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:multi_nli')

• 설명 :

The Multi-Genre Natural Language Inference (MultiNLI) corpus is a
crowd-sourced collection of 433k sentence pairs annotated with textual
entailment information. The corpus is modeled on the SNLI corpus, but differs in
that covers a range of genres of spoken and written text, and supports a
distinctive cross-genre generalization evaluation. The corpus served as the
basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen.

• 라이센스 : 알려진 라이센스 없음
• 버전 : 0.0.0
• 분할 :

• 특징 :

{
    "promptID": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "pairID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "premise_binary_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "premise_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis_binary_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis_parse": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "genre": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}