livinNector/wikipedia
收藏Hugging Face2023-03-28 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/livinNector/wikipedia
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资源简介：
---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
pretty_name: Wikipedia
paperswithcode_id: null
license:
- cc-by-sa-3.0
- gfdl
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
source_datasets:
- original
multilinguality:
- multilingual
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
- 1M<n<10M
language:
- aa
- ab
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language_bcp47:
- nds-nl
configs:
- 20220301.aa
- 20220301.ab
- 20220301.ace
- 20220301.ady
- 20220301.af
- 20220301.ak
- 20220301.als
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- 20220301.cbk-zam
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- 20220301.ce
- 20220301.ceb
- 20220301.ch
- 20220301.cho
- 20220301.chr
- 20220301.chy
- 20220301.ckb
- 20220301.co
- 20220301.cr
- 20220301.crh
- 20220301.cs
- 20220301.csb
- 20220301.cu
- 20220301.cv
- 20220301.cy
- 20220301.da
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- 20220301.eu
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- 20220301.zea
- 20220301.zh
- 20220301.zh-classical
- 20220301.zh-min-nan
- 20220301.zh-yue
- 20220301.zu
dataset_info:
- config_name: 20220301.de
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 8905282792
num_examples: 2665357
download_size: 6523215105
dataset_size: 8905282792
- config_name: 20220301.en
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 20275516160
num_examples: 6458670
download_size: 20598313936
dataset_size: 20275516160
- config_name: 20220301.fr
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 7375920768
num_examples: 2402095
download_size: 5602565274
dataset_size: 7375920768
- config_name: 20220301.frr
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 9129760
num_examples: 15199
download_size: 12438017
dataset_size: 9129760
- config_name: 20220301.it
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4539944448
num_examples: 1743035
download_size: 3516441239
dataset_size: 4539944448
- config_name: 20220301.simple
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 235072360
num_examples: 205328
download_size: 239682796
dataset_size: 235072360
---
# Dataset Card for Wikipedia
## Table of Contents
- [Dataset Card for "wikipedia"](#dataset-card-for-wikipedia)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [20200501.de](#20200501de)
- [20200501.en](#20200501en)
- [20200501.fr](#20200501fr)
- [20200501.frr](#20200501frr)
- [20200501.it](#20200501it)
- [Data Fields](#data-fields)
- [20200501.de](#20200501de-1)
- [20200501.en](#20200501en-1)
- [20200501.fr](#20200501fr-1)
- [20200501.frr](#20200501frr-1)
- [20200501.it](#20200501it-1)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Annotations](#annotations)
- [Annotation process](#annotation-process)
- [Who are the annotators?](#who-are-the-annotators)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://dumps.wikimedia.org](https://dumps.wikimedia.org)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Dataset Summary
Wikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.).
The articles are parsed using the ``mwparserfromhell`` tool.
To load this dataset you need to install Apache Beam and ``mwparserfromhell`` first:
```
pip install apache_beam mwparserfromhell
```
Then, you can load any subset of Wikipedia per language and per date this way:
```python
from datasets import load_dataset
load_dataset("wikipedia", language="sw", date="20220120", beam_runner=...)
```
where you can pass as `beam_runner` any Apache Beam supported runner for (distributed) data processing
(see [here](https://beam.apache.org/documentation/runners/capability-matrix/)).
Pass "DirectRunner" to run it on your machine.
You can find the full list of languages and dates [here](https://dumps.wikimedia.org/backup-index.html).
Some subsets of Wikipedia have already been processed by HuggingFace, and you can load them just with:
```python
from datasets import load_dataset
load_dataset("wikipedia", "20220301.en")
```
The list of pre-processed subsets is:
- "20220301.de"
- "20220301.en"
- "20220301.fr"
- "20220301.frr"
- "20220301.it"
- "20220301.simple"
### Supported Tasks and Leaderboards
The dataset is generally used for Language Modeling.
### Languages
You can find the list of languages [here](https://meta.wikimedia.org/wiki/List_of_Wikipedias).
## Dataset Structure
### Data Instances
An example looks as follows:
```
{'id': '1',
'url': 'https://simple.wikipedia.org/wiki/April',
'title': 'April',
'text': 'April is the fourth month...'
}
```
Some subsets of Wikipedia have already been processed by HuggingFace, as you can see below:
#### 20220301.de
- **Size of downloaded dataset files:** 6523.22 MB
- **Size of the generated dataset:** 8905.28 MB
- **Total amount of disk used:** 15428.50 MB
#### 20220301.en
- **Size of downloaded dataset files:** 20598.31 MB
- **Size of the generated dataset:** 20275.52 MB
- **Total amount of disk used:** 40873.83 MB
#### 20220301.fr
- **Size of downloaded dataset files:** 5602.57 MB
- **Size of the generated dataset:** 7375.92 MB
- **Total amount of disk used:** 12978.49 MB
#### 20220301.frr
- **Size of downloaded dataset files:** 12.44 MB
- **Size of the generated dataset:** 9.13 MB
- **Total amount of disk used:** 21.57 MB
#### 20220301.it
- **Size of downloaded dataset files:** 3516.44 MB
- **Size of the generated dataset:** 4539.94 MB
- **Total amount of disk used:** 8056.39 MB
#### 20220301.simple
- **Size of downloaded dataset files:** 239.68 MB
- **Size of the generated dataset:** 235.07 MB
- **Total amount of disk used:** 474.76 MB
### Data Fields
The data fields are the same among all configurations:
- `id` (`str`): ID of the article.
- `url` (`str`): URL of the article.
- `title` (`str`): Title of the article.
- `text` (`str`): Text content of the article.
### Data Splits
Here are the number of examples for several configurations:
| name | train |
|-----------------|--------:|
| 20220301.de | 2665357 |
| 20220301.en | 6458670 |
| 20220301.fr | 2402095 |
| 20220301.frr | 15199 |
| 20220301.it | 1743035 |
| 20220301.simple | 205328 |
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Licensing Information
Most of Wikipedia's text and many of its images are co-licensed under the
[Creative Commons Attribution-ShareAlike 3.0 Unported License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License)
(CC BY-SA) and the [GNU Free Documentation License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License)
(GFDL) (unversioned, with no invariant sections, front-cover texts, or back-cover texts).
Some text has been imported only under CC BY-SA and CC BY-SA-compatible license and cannot be reused under GFDL; such
text will be identified on the page footer, in the page history, or on the discussion page of the article that utilizes
the text.
### Citation Information
```
@ONLINE{wikidump,
author = "Wikimedia Foundation",
title = "Wikimedia Downloads",
url = "https://dumps.wikimedia.org"
}
```
### Contributions
Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
提供机构：
livinNector
原始信息汇总
Dataset Card for Wikipedia
Dataset Description
Dataset Summary
Wikipedia dataset containing cleaned articles of all languages. The datasets are built from the Wikipedia dump (https://dumps.wikimedia.org/) with one split per language. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.).
Supported Tasks and Leaderboards
The dataset is generally used for Language Modeling.
Languages
The dataset includes articles in the following languages:
- aa, ab, ace, af, ak, als, am, an, ang, ar, arc, arz, as, ast, atj, av, ay, az, azb, ba, bar, bcl, be, bg, bh, bi, bjn, bm, bn, bo, bpy, br, bs, bug, bxr, ca, cbk, cdo, ce, ceb, ch, cho, chr, chy, ckb, co, cr, crh, cs, csb, cu, cv, cy, da, de, din, diq, dsb, dty, dv, dz, ee, el, eml, en, eo, es, et, eu, ext, fa, ff, fi, fj, fo, fr, frp, frr, fur, fy, ga, gag, gan, gd, gl, glk, gn, gom, gor, got, gu, gv, ha, hak, haw, he, hi, hif, ho, hr, hsb, ht, hu, hy, ia, id, ie, ig, ii, ik, ilo, inh, io, is, it, iu, ja, jam, jbo, jv, ka, kaa, kab, kbd, kbp, kg, ki, kj, kk, kl, km, kn, ko, koi, krc, ks, ksh, ku, kv, kw, ky, la, lad, lb, lbe, lez, lfn, lg, li, lij, lmo, ln, lo, lrc, lt, ltg, lv, lzh, mai, mdf, mg, mh, mhr, mi, min, mk, ml, mn, mr, mrj, ms, mt, mus, mwl, my, myv, mzn, na, nah, nan, nap, nds, ne, new, ng, nl, nn, no, nov, nrf, nso, nv, ny, oc, olo, om, or, os, pa, pag, pam, pap, pcd, pdc, pfl, pi, pih, pl, pms, pnb, pnt, ps, pt, qu, rm, rmy, rn, ro, ru, rue, rup, rw, sa, sah, sat, sc, scn, sco, sd, se, sg, sgs, sh, si, sk, sl, sm, sn, so, sq, sr, srn, ss, st, stq, su, sv, sw, szl, ta, tcy, tdt, te, tg, th, ti, tk, tl, tn, to, tpi, tr, ts, tt, tum, tw, ty, tyv, udm, ug, uk, ur, uz, ve, vec, vep, vi, vls, vo, vro, wa, war, wo, wuu, xal, xh, xmf, yi, yo, yue, za, zea, zh, zu
Dataset Structure
Data Instances
An example looks as follows:
json { "id": "1", "url": "https://simple.wikipedia.org/wiki/April", "title": "April", "text": "April is the fourth month..." }
Data Fields
The data fields are the same among all configurations:
id(str): ID of the article.url(str): URL of the article.title(str): Title of the article.text(str): Text content of the article.
Data Splits
Here are the number of examples for several configurations:
| name | train |
|---|---|
| 20220301.de | 2665357 |
| 20220301.en | 6458670 |
| 20220301.fr | 2402095 |
| 20220301.frr | 15199 |
| 20220301.it | 1743035 |
| 20220301.simple | 205328 |
Dataset Creation
Curation Rationale
The dataset is curated to provide a clean and structured source of text data from Wikipedia articles for various natural language processing tasks, particularly language modeling.
Source Data
Initial Data Collection and Normalization
The data is collected from the Wikipedia dump (https://dumps.wikimedia.org/) and processed to remove markdown and unwanted sections such as references.
Who are the source language producers?
The source language producers are the contributors to Wikipedia, including volunteers and experts from various fields.
Annotations
Annotation process
The dataset does not include annotations as it is primarily text data from Wikipedia articles.
Who are the annotators?
There are no annotators for this dataset as it is sourced directly from Wikipedia articles.
Personal and Sensitive Information
The dataset does not contain personal or sensitive information as it is sourced from publicly available Wikipedia articles.
Considerations for Using the Data
Social Impact of Dataset
The dataset can be used for various NLP tasks, contributing to advancements in technology and knowledge. However, users should be aware of potential biases present in the data due to the nature of contributions to Wikipedia.
Discussion of Biases
Wikipedia articles may reflect biases present in their contributors. Users of the dataset should be mindful of this and consider potential biases when using the data for research or development.
Other Known Limitations
The dataset does not include images or other multimedia content from Wikipedia articles.
Additional Information
Dataset Curators
The dataset is curated by the Hugging Face team.
Licensing Information
Most of Wikipedias text and many of its images are co-licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA) and the GNU Free Documentation License (GFDL).
Citation Information
@ONLINE{wikidump, author = "Wikimedia Foundation", title = "Wikimedia Downloads", url = "https://dumps.wikimedia.org" }
Contributions
Thanks to @lewtun, @mariamabarham, @thomwolf, @lhoestq, @patrickvonplaten for adding this dataset.
