참고자료:
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:climate_fever')
- 설명 :
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.1
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 1535년 |
- 특징 :
{
"claim_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"claim": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"claim_label": {
"num_classes": 4,
"names": [
"SUPPORTS",
"REFUTES",
"NOT_ENOUGH_INFO",
"DISPUTED"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"evidences": [
{
"evidence_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence_label": {
"num_classes": 3,
"names": [
"SUPPORTS",
"REFUTES",
"NOT_ENOUGH_INFO"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"article": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"evidence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"entropy": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"votes": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
]
}