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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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language: |
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- ru |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10k |
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task_categories: |
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- text-generation |
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task_ids: |
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- automatic-spelling-correction |
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pretty_name: Russian Spellcheck Benchmark |
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language_bcp47: |
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- ru-RU |
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tags: |
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- spellcheck |
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- russian |
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--- |
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# Dataset Card for [Russian Spellcheck Benchmark] |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Repository:** # TODO: insert link to SpellKit may be? |
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- **Paper:** # TODO: insert paper to Dialog / EMNLP paper |
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- **Point of Contact:** nikita.martynov.98@list.ru |
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### Dataset Summary |
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Spellcheck Benchmark includes four datasets, each of which consists of pairs of sentences in Russian language. |
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Each pair embodies sentence, which may contain spelling errors, and its corresponding correction. |
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Datasets were gathered from various sources and domains including social networks, internet blogs, github commits, medical anamnesis, literature, news, reviews and more. |
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All datasets were passed through two-stage manual labeling pipeline. |
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The correction of a sentence is defined by an agreement of at least two human annotators. |
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Manual labeling scheme accounts for jargonisms, collocations and common language, hence in some cases it encourages |
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annotators not to amend a word in favor of preserving style of a text. |
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### Supported Tasks and Leaderboards |
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- **Task:** automatic spelling correction. |
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- **Metrics:** https://www.dialog-21.ru/media/3427/sorokinaaetal.pdf. |
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### Languages |
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Russian. |
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## Dataset Structure |
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### Data Instances |
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#### RUSpellRU |
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- **Size of downloaded dataset files:** # TODO |
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- **Size of the generated dataset:** # TODO |
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- **Total amount of disk used:** # TODO |
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An example of "train" / "test" looks as follows |
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``` |
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{ |
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"source": "очень классная тетка ктобы что не говорил.", |
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"correction": "очень классная тетка кто бы что ни говорил", |
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} |
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``` |
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#### MultidomainGold |
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- **Size of downloaded dataset files:** # TODO |
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- **Size of the generated dataset:** # TODO |
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- **Total amount of disk used:** # TODO |
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An example of "test" looks as follows |
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``` |
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{ |
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"source": "Ну что могу сказать... Я заказала 2 вязанных платья: за 1000 руб (у др продавца) и это ща 1200. Это платье- голимая синтетика (в том платье в составе была шерсть). Это платье как очень плохая резинка. На свои параметры (83-60-85) я заказала С . Пока одевала/снимала - оно в горловине растянулось. Помимо этого в этом платье я выгляжу ну очень тоской. У меня вес 43 кг на 165 см роста. Кстати, продавец отправлял платье очень долго. Я пыталась отказаться от заказа, но он постоянно отклонял мой запрос. В общем не советую.", |
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"correction": "Ну что могу сказать... Я заказала 2 вязаных платья: за 1000 руб (у др продавца) и это ща 1200. Это платье- голимая синтетика (в том платье в составе была шерсть). Это платье как очень плохая резинка. На свои параметры (83-60-85) я заказала С . Пока надевала/снимала - оно в горловине растянулось. Помимо этого в этом платье я выгляжу ну очень доской. У меня вес 43 кг на 165 см роста. Кстати, продавец отправлял платье очень долго. Я пыталась отказаться от заказа, но он постоянно отклонял мой запрос. В общем не советую.", |
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"domain": "reviews", |
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} |
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``` |
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#### MedSpellcheck |
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- **Size of downloaded dataset files:** # TODO |
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- **Size of the generated dataset:** # TODO |
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- **Total amount of disk used:** # TODO |
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An example of "test" looks as follows |
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``` |
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{ |
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# TO DO |
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} |
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``` |
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#### GitHubTypoCorpusRu |
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- **Size of downloaded dataset files:** # TODO |
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- **Size of the generated dataset:** # TODO |
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- **Total amount of disk used:** # TODO |
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An example of "test" looks as follows |
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``` |
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{ |
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"source": "## Запросы и ответа содержат заголовки", |
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"correction": "## Запросы и ответы содержат заголовки", |
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} |
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``` |
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### Data Fields |
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#### RUSpellRU |
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- `source`: a `string` feature |
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- `correction`: a `string` feature |
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#### MultidomainGold |
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- `source`: a `string` feature |
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- `correction`: a `string` feature |
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- `domain`: a `string` feature |
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#### MedSpellcheck |
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- `source`: a `string` feature |
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- `correction`: a `string` feature |
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#### GitHubTypoCorpusRu |
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- `source`: a `string` feature |
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- `correction`: a `string` feature |
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### Data Splits |
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#### RUSpellRU |
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| |train|test| |
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|---|---:|---:| |
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|RUSpellRU|2000|2008| |
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#### MultidomainGold |
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| |train|test| |
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|---|---:|---:| |
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|web|386|756| |
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|news|361|245| |
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|social_media|430|200| |
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|reviews|584|586| |
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|subtitles|1810|1810| |
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|strategic_documents|-|250| |
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|literature|-|260| |
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#### MedSpellcheck |
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| |test| |
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|---|---:|---:| |
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|MedSpellcheck|2000| |
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#### GitHubTypoCorpusRu |
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| |test| |
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|---|---:|---:| |
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|GitHubTypoCorpusRu|1136| |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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