Referanslar:
düz_metin
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:mc_taco/plain_text')
- Tanım :
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").
- Lisans : Bilinmiyor
- Sürüm : 1.1.0
- Bölünmeler :
Bölmek | Örnekler |
---|---|
'test' | 9442 |
'validation' | 3783 |
- Özellikler :
{
"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"
}
}