참고자료:
일반 텍스트
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:mc_taco/plain_text')
- 설명 :
MC-TACO (Multiple Choice TemporAl COmmonsense) is a dataset of 13k question-answer
pairs that require temporal commonsense comprehension. A system receives a sentence
providing context information, a question designed to require temporal commonsense
knowledge, and multiple candidate answers. More than one candidate answer can be plausible.
The task is framed as binary classification: givent he context, the question,
and the candidate answer, the task is to determine whether the candidate
answer is plausible ("yes") or not ("no").
- 라이센스 : 알 수 없음
- 버전 : 1.1.0
- 분할 :
나뉘다 | 예 |
---|---|
'test' | 9442 |
'validation' | 3783 |
- 특징 :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"no",
"yes"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"category": {
"num_classes": 5,
"names": [
"Event Duration",
"Event Ordering",
"Frequency",
"Typical Time",
"Stationarity"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}