Riferimenti:
Utilizzare il comando seguente per caricare questo set di dati in TFDS:
ds = tfds.load('huggingface:reddit')
- Descrizione :
This corpus contains preprocessed posts from the Reddit dataset.
The dataset consists of 3,848,330 posts with an average length of 270 words for content,
and 28 words for the summary.
Features includes strings: author, body, normalizedBody, content, summary, subreddit, subreddit_id.
Content is used as document and summary is used as summary.
- Licenza : nessuna licenza conosciuta
- Versione : 1.0.0
- Divide :
| Diviso | Esempi |
|---|---|
'train' | 3848330 |
- Caratteristiche :
{
"author": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"body": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"normalizedBody": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subreddit": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subreddit_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"content": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"summary": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}