Références :
dialogues
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:deal_or_no_dialog/dialogues')
- Description :
A large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each other’s reward functions must reach anagreement (o a deal) via natural language dialogue.
- Licence : Le projet est sous licence CC-by-NC
- Version : 1.1.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 1052 |
'train' | 10095 |
'validation' | 1087 |
- Caractéristiques :
{
"input": {
"feature": {
"count": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"value": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"dialogue": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"output": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"partner_input": {
"feature": {
"count": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"value": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
jeu_auto
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:deal_or_no_dialog/self_play')
- Description :
A large dataset of human-human negotiations on a multi-issue bargaining task, where agents who cannot observe each other’s reward functions must reach anagreement (o a deal) via natural language dialogue.
- Licence : Le projet est sous licence CC-by-NC
- Version : 1.1.0
- Divisions :
| Diviser | Exemples |
|---|---|
'train' | 8172 |
- Caractéristiques :
{
"input": {
"feature": {
"count": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"value": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}