license: mit
language_bcp47:
- ru-RU
tags:
- spellcheck
language:
- ru
size_categories:
- 1K<n<10K
Dataset Summary
This dataset is a set of samples for testing the spell checker, grammar error correction and ungrammatical text detection models. I assembled this set by hand from various sources. The purpose of creating the dataset was to test an internal spellchecker for a generative poetry project, but it can also be useful in other projects, since it does not have an explicit specialization for poetry. You can consider this dataset as an extension of RuCOLA, because the dataset format is made as compatible as possible. In addition, for some samples there is a corrected version of the text ("fixed_sentence" field), so it can be used as an extension of datasets in ai-forever/spellcheck_benchmark.
Example
{
"id": 1483,
"sentence": "Разучи стихов по больше",
"fixed_sentence": "Разучи стихов побольше",
"label": 0,
"error_type": "Misspelling",
"domain": "prose"
}
Uncensoring samples
A number of samples contain text with explicit obscenities:
{
"id": 1,
"sentence": "Но не простого - с лёгкой еб@нцой.",
"fixed_sentence": "Но не простого - с лёгкой ебанцой.",
"label": 0,
"error_type": "Misspelling",
"domain": "prose"
}
Poetry samples
A few poetry samples are included in this version:
{
"id": 24,
"sentence": "Чему научит забытьё?\nСмерть формы д'арует литьё.\nРезец мгновенье любит стружка...\nСмерть безобидная подружка!",
"fixed_sentence": null,
"label": 0,
"error_type": "Syntax",
"domain": "poetry"
}
Dataset fields
id (int64): the sentence's id, starting 1.
sentence (str): the original sentence.
fixed_sentence (str): the corrected version of original sentence.
label (str): the target class. "1" for "acceptable", "0" for "unacceptable".
error_type (str): the violation category: Misspelling, Syntax, Semantics, or Hallucination.
domain (str): domain: "prose" or "poetry".
Statistics
Domains:
prose 5238
poetry 609
Violation categories:
Misspelling 3238
Syntax 2606
Semantics 3