Referanslar:
düz_metin
Bu veri kümesini TFDS'ye yüklemek için aşağıdaki komutu kullanın:
ds = tfds.load('huggingface:hans/plain_text')
- Tanım :
The HANS dataset is an NLI evaluation set that tests specific hypotheses about invalid heuristics that NLI models are likely to learn.
- Lisans : Bilinen lisans yok
- Sürüm : 1.0.0
- Bölünmeler :
| Bölmek | Örnekler |
|---|---|
'train' | 30000 |
'validation' | 30000 |
- Özellikler :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"entailment",
"non-entailment"
],
"id": null,
"_type": "ClassLabel"
},
"parse_premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"parse_hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"binary_parse_premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"binary_parse_hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"heuristic": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subcase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}