task_categories:
- text-generation
language:
- ru
size_categories:
- 1K<n<10K
Spellcheck Benchmark
Dataset Description
Spellcheck Benchmark is a collection of datasets dedicated to spelling correction problem for Russian language.
GitHub -
Paper -
Dataset Summary
Spellcheck Benchmark includes four datasets, each of which consists of pairs of sentences in Russian language. Each pair embodies sentence, which may contain spelling errors, and its corresponding correction. Datasets were gathered from various sources and domains including social networks, internet blogs, github commits, medical anamnesis, literature, news, reviews and more.
All datasets were passed through two-stage manual labeling pipeline. The correction of a sentence is defined by an agreement of at least two human annotators. Manual labeling scheme accounts for jargonisms, collocations and common language, hence in some cases it encourages annotators not to amend a word in favor of preserving style of a text.
Supported Tasks and Leaderboards
- Automatic spelling correction
Dataset Structure
Data Splits
The benchmark consists of the following splits that reflect corresponding dataset:
- MultidomainGoldSet: collected and annotated by SalutDevices Team;
- RUSpellRU: by Sorokin et al.(2016);
- MedSpellCheck: ...;
- GithubTypos: ...;
You can load dataset of your interest by passing # TODO