Références :
texte_plain
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:anli/plain_text')
- Description :
The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset,
The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.
ANLI is much more difficult than its predecessors including SNLI and MNLI.
It contains three rounds. Each round has train/dev/test splits.
- Licence : Aucune licence connue
- Version : 0.1.0
- Divisions :
| Diviser | Exemples |
|---|---|
'dev_r1' | 1000 |
'dev_r2' | 1000 |
'dev_r3' | 1200 |
'test_r1' | 1000 |
'test_r2' | 1000 |
'test_r3' | 1200 |
'train_r1' | 16946 |
'train_r2' | 45460 |
'train_r3' | 100459 |
- Caractéristiques :
{
"uid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 3,
"names": [
"entailment",
"neutral",
"contradiction"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"reason": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}