Dataset Viewer
The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.
Dataset Card for "kilt_wikipedia"
Dataset Summary
KILT-Wikipedia: Wikipedia pre-processed for KILT.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
2019-08-01
- Size of downloaded dataset files: 37.32 GB
- Size of the generated dataset: 29.37 GB
- Total amount of disk used: 66.69 GB
An example of 'full' looks as follows.
{
"anchors": {
"end": [],
"href": [],
"paragraph_id": [],
"start": [],
"text": [],
"wikipedia_id": [],
"wikipedia_title": []
},
"categories": "",
"history": {
"pageid": 0,
"parentid": 0,
"pre_dump": true,
"revid": 0,
"timestamp": "",
"url": ""
},
"kilt_id": "",
"text": {
"paragraph": []
},
"wikidata_info": {
"aliases": {
"alias": []
},
"description": "",
"enwikiquote_title": "",
"wikidata_id": "",
"wikidata_label": "",
"wikipedia_title": ""
},
"wikipedia_id": "",
"wikipedia_title": ""
}
Data Fields
The data fields are the same among all splits.
2019-08-01
kilt_id: astringfeature.wikipedia_id: astringfeature.wikipedia_title: astringfeature.text: a dictionary feature containing:paragraph: astringfeature.
anchors: a dictionary feature containing:paragraph_id: aint32feature.start: aint32feature.end: aint32feature.text: astringfeature.href: astringfeature.wikipedia_title: astringfeature.wikipedia_id: astringfeature.
categories: astringfeature.description: astringfeature.enwikiquote_title: astringfeature.wikidata_id: astringfeature.wikidata_label: astringfeature.wikipedia_title: astringfeature.aliases: a dictionary feature containing:alias: astringfeature.
pageid: aint32feature.parentid: aint32feature.revid: aint32feature.pre_dump: aboolfeature.timestamp: astringfeature.url: astringfeature.
Data Splits
| name | full |
|---|---|
| 2019-08-01 | 5903530 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
@inproceedings{fb_kilt,
author = {Fabio Petroni and
Aleksandra Piktus and
Angela Fan and
Patrick Lewis and
Majid Yazdani and
Nicola De Cao and
James Thorne and
Yacine Jernite and
Vassilis Plachouras and
Tim Rockt"aschel and
Sebastian Riedel},
title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},
journal = {CoRR},
archivePrefix = {arXiv},
year = {2020},
Contributions
- Downloads last month
- 221