숫자_융합_머리

참고자료:

신분증

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:numeric_fused_head/identification')
  • 설명 :
Fused Head constructions are noun phrases in which the head noun is missing and is said to be "fused" with its dependent modifier. This missing information is implicit and is important for sentence understanding.The missing heads are easily filled in by humans,  but pose a challenge for computational models.

For example, in the sentence: "I bought 5 apples but got only 4.", 4 is a Fused-Head, and the missing head is apples, which appear earlier in the sentence.

This is a crowd-sourced dataset of 10k numerical fused head examples (1M tokens).
  • 라이센스 : MIT
  • 버전 : 0.0.0
  • 분할 :
나뉘다
'test' 500
'train' 165606
'validation' 18401
  • 특징 :
{
    "tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "start_index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "end_index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "neg",
            "pos"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

해결

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:numeric_fused_head/resolution')
  • 설명 :
Fused Head constructions are noun phrases in which the head noun is missing and is said to be "fused" with its dependent modifier. This missing information is implicit and is important for sentence understanding.The missing heads are easily filled in by humans,  but pose a challenge for computational models.

For example, in the sentence: "I bought 5 apples but got only 4.", 4 is a Fused-Head, and the missing head is apples, which appear earlier in the sentence.

This is a crowd-sourced dataset of 10k numerical fused head examples (1M tokens).
  • 라이센스 : MIT
  • 버전 : 0.0.0
  • 분할 :
나뉘다
'test' 1000
'train' 7412
'validation' 1000
  • 특징 :
{
    "tokens": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "line_indices": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "head": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "speakers": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "anchors_indices": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}