Références :
dialogue_domaine
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:multidoc2dial/dialogue_domain')
- Description :
MultiDoc2Dial is a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents. Most previous works treat document-grounded dialogue modeling as a machine reading comprehension task based on a single given document or passage. We aim to address more realistic scenarios where a goal-oriented information-seeking conversation involves multiple topics, and hence is grounded on different documents.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'train' | 3474 |
'validation' | 661 |
- Caractéristiques :
{
"dial_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turns": [
{
"turn_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"role": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"da": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"id_sp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"doc_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
document_domaine
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:multidoc2dial/document_domain')
- Description :
MultiDoc2Dial is a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents. Most previous works treat document-grounded dialogue modeling as a machine reading comprehension task based on a single given document or passage. We aim to address more realistic scenarios where a goal-oriented information-seeking conversation involves multiple topics, and hence is grounded on different documents.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'train' | 488 |
- Caractéristiques :
{
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"doc_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"doc_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"spans": [
{
"id_sp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"tag": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_sp": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_sp": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text_sp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"parent_titles": {
"feature": {
"id_sp": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"level": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"id_sec": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_sec": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text_sec": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"end_sec": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
],
"doc_html_ts": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"doc_html_raw": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
multidoc2dial
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:multidoc2dial/multidoc2dial')
- Description :
MultiDoc2Dial is a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents. Most previous works treat document-grounded dialogue modeling as a machine reading comprehension task based on a single given document or passage. We aim to address more realistic scenarios where a goal-oriented information-seeking conversation involves multiple topics, and hence is grounded on different documents.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 5 |
'train' | 21451 |
'validation' | 4201 |
- Caractéristiques :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"da": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}