Références :
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:empathetic_dialogues')
- Description :
PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
- Licence : Aucune licence connue
- Version : 0.1.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 10943 |
'train' | 76673 |
'validation' | 12030 |
- Caractéristiques :
{
"conv_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"utterance_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"prompt": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"speaker_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"selfeval": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"tags": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}