Datasets:
Tasks:
Other
Size Categories:
1M<n<10M
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| language: | |
| - uk-UA | |
| license: | |
| - cc-by-3.0 | |
| multilinguality: | |
| - monolingual | |
| - translation | |
| pretty_name: 'Ukrainian Wikipedia edits ' | |
| size_categories: | |
| - 1M<n<10M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - other | |
| task_ids: [] | |
| # Ukrainian Wikipedia Edits | |
| ### Dataset summary | |
| A collection of over 5M sentence edits extracted from Ukrainian Wikipedia history revisions. | |
| Edits were filtered by edit distance and sentence length. This makes them usable for grammatical error correction (GEC) or spellchecker models pre-training. | |
| ### Supported Tasks and Leaderboards | |
| * Ukrainian grammatical error correction (GEC) - see [UA-GEC](https://github.com/grammarly/ua-gec) | |
| * Ukrainian spelling correction | |
| ### Languages | |
| Ukrainian | |
| ## Dataset Structure | |
| ### Data Fields | |
| * `src` - sentence before edit | |
| * `tgt` - sentence after edit | |
| ### Data Splits | |
| * `full/train` contains all the data (5,243,376 samples) | |
| * `tiny/train` contains a 5000 examples sample. | |
| ## Dataset Creation | |
| Latest full Ukrainian Wiki dump were used as of 2022-04-30. | |
| It was processed with the [wikiedits](https://github.com/snukky/wikiedits) and custom scripts. | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| Wikipedia | |
| #### Who are the source language producers? | |
| Wikipedia writers | |
| ### Annotations | |
| #### Annotation process | |
| Annotations inferred by comparing two subsequent page revisions. | |
| #### Who are the annotators? | |
| People who edit Wikipedia pages. | |
| ### Personal and Sensitive Information | |
| No | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| The data is noisy. In addition to GEC and spelling edits, it contains a good chunk of factual changes and vandalism. | |
| More task-specific filters could help. | |
| ## Additional Information | |
| ### Dataset Curators | |
| [Oleksiy Syvokon](https://github.com/asivokon) | |
| ### Licensing Information | |
| CC-BY-3.0 | |
| ### Citation Information | |
| ``` | |
| @inproceedings{wiked2014, | |
| author = {Roman Grundkiewicz and Marcin Junczys-Dowmunt}, | |
| title = {The WikEd Error Corpus: A Corpus of Corrective Wikipedia Edits and its Application to Grammatical Error Correction}, | |
| booktitle = {Advances in Natural Language Processing -- Lecture Notes in Computer Science}, | |
| editor = {Adam Przepiórkowski and Maciej Ogrodniczuk}, | |
| publisher = {Springer}, | |
| year = {2014}, | |
| volume = {8686}, | |
| pages = {478--490}, | |
| url = {http://emjotde.github.io/publications/pdf/mjd.poltal2014.draft.pdf} | |
| } | |
| ``` | |
| ### Contributions | |
| [@snukky](https://github.com/snukky) created tools for dataset processing. | |
| [@asivokon](https://github.com/asivokon) generated this dataset. | |