albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
bef96d2
metadata
paperswithcode_id: null
pretty_name: KiltWikipedia
dataset_info:
features:
- name: kilt_id
dtype: string
- name: wikipedia_id
dtype: string
- name: wikipedia_title
dtype: string
- name: text
sequence:
- name: paragraph
dtype: string
- name: anchors
sequence:
- name: paragraph_id
dtype: int32
- name: start
dtype: int32
- name: end
dtype: int32
- name: text
dtype: string
- name: href
dtype: string
- name: wikipedia_title
dtype: string
- name: wikipedia_id
dtype: string
- name: categories
dtype: string
- name: wikidata_info
struct:
- name: description
dtype: string
- name: enwikiquote_title
dtype: string
- name: wikidata_id
dtype: string
- name: wikidata_label
dtype: string
- name: wikipedia_title
dtype: string
- name: aliases
sequence:
- name: alias
dtype: string
- name: history
struct:
- name: pageid
dtype: int32
- name: parentid
dtype: int32
- name: revid
dtype: int32
- name: pre_dump
dtype: bool
- name: timestamp
dtype: string
- name: url
dtype: string
config_name: '2019-08-01'
splits:
- name: full
num_bytes: 29372535718
num_examples: 5903530
download_size: 37318876722
dataset_size: 29372535718
Dataset Card for "kilt_wikipedia"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/facebookresearch/KILT
- Repository: More Information Needed
- Paper: More Information Needed
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 37.32 GB
- Size of the generated dataset: 29.37 GB
- Total amount of disk used: 66.69 GB
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
: astring
feature.wikipedia_id
: astring
feature.wikipedia_title
: astring
feature.text
: a dictionary feature containing:paragraph
: astring
feature.
anchors
: a dictionary feature containing:paragraph_id
: aint32
feature.start
: aint32
feature.end
: aint32
feature.text
: astring
feature.href
: astring
feature.wikipedia_title
: astring
feature.wikipedia_id
: astring
feature.
categories
: astring
feature.description
: astring
feature.enwikiquote_title
: astring
feature.wikidata_id
: astring
feature.wikidata_label
: astring
feature.wikipedia_title
: astring
feature.aliases
: a dictionary feature containing:alias
: astring
feature.
pageid
: aint32
feature.parentid
: aint32
feature.revid
: aint32
feature.pre_dump
: abool
feature.timestamp
: astring
feature.url
: astring
feature.
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},