References:
wiki40b_en_100_0
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_snippets/wiki40b_en_100_0')
- Description:
Wikipedia version split into plain text snippets for dense semantic indexing.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
17553713 |
- Features:
{
"_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"datasets_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"wiki_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_paragraph": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"article_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"passage_text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
wikipedia_en_100_0
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wiki_snippets/wikipedia_en_100_0')
- Description:
Wikipedia version split into plain text snippets for dense semantic indexing.
- License: No known license
- Version: 2.0.0
- Splits:
Split | Examples |
---|---|
'train' |
33849898 |
- Features:
{
"_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"datasets_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"wiki_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_paragraph": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"start_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_paragraph": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_character": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"article_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"section_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"passage_text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}