Riferimenti:
testo_normale
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:hans/plain_text')
- Descrizione :
The HANS dataset is an NLI evaluation set that tests specific hypotheses about invalid heuristics that NLI models are likely to learn.
- Licenza : nessuna licenza conosciuta
- Versione : 1.0.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 30000 |
'validation' | 30000 |
- Caratteristiche :
{
"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"
}
}