Referencias:
dominio_diálogo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:doc2dial/dialogue_domain')
- Descripción :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
- Licencia : Sin licencia conocida
- Versión : 1.0.1
- Divisiones :
| Separar | Ejemplos |
|---|---|
'train' | 3474 |
'validation' | 661 |
- Características :
{
"dial_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"doc_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": [
{
"sp_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
}
dominio_documento
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:doc2dial/document_domain')
- Descripción :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
- Licencia : Sin licencia conocida
- Versión : 1.0.1
- Divisiones :
| Separar | Ejemplos |
|---|---|
'train' | 3416 |
- Características :
{
"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": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"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"
}
}
doc2dial_rc
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:doc2dial/doc2dial_rc')
- Descripción :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
- Licencia : Sin licencia conocida
- Versión : 1.0.1
- Divisiones :
| Separar | Ejemplos |
|---|---|
'train' | 20431 |
'validation' | 3972 |
- Características :
{
"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"
},
"answers": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"domain": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}