Riferimenti:
dialog_dominio
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:doc2dial/dialogue_domain')
- Descrizione :
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.
- Licenza : nessuna licenza conosciuta
- Versione : 1.0.1
- Divide :
Diviso | Esempi |
---|---|
'train' | 3474 |
'validation' | 661 |
- Caratteristiche :
{
"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
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:doc2dial/document_domain')
- Descrizione :
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.
- Licenza : nessuna licenza conosciuta
- Versione : 1.0.1
- Divide :
Diviso | Esempi |
---|---|
'train' | 3416 |
- Caratteristiche :
{
"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
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:doc2dial/doc2dial_rc')
- Descrizione :
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.
- Licenza : nessuna licenza conosciuta
- Versione : 1.0.1
- Divide :
Diviso | Esempi |
---|---|
'train' | 20431 |
'validation' | 3972 |
- Caratteristiche :
{
"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"
}
}