참조:
다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.
ds = tfds.load('huggingface:reclor')
- 설명 :
Logical reasoning is an important ability to examine, analyze, and critically evaluate arguments as they occur in ordinary
language as the definition from LSAC. ReClor is a dataset extracted from logical reasoning questions of standardized graduate
admission examinations. Empirical results show that the state-of-the-art models struggle on ReClor with poor performance
indicating more research is needed to essentially enhance the logical reasoning ability of current models. We hope this
dataset could help push Machine Reading Comprehension (MRC) towards more complicated reasonin
- 라이선스 : 알려진 라이선스 없음
- 버전 : 0.1.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 1000 |
'train' | 4638 |
'validation' | 500 |
- 특징 :
{
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id_string": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}