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### Dataset Summary
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This dataset is a set of samples for testing the spell checker, grammar error correction and ungrammatical text detection models.
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The purpose of creating the dataset was to test an internal spellchecker for [a generative poetry project](https://github.com/Koziev/verslibre), but it can also be useful in other projects, since it does not have an explicit specialization for poetry.
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You can consider this dataset as an extension of [RuCOLA](https://huggingface.co/datasets/RussianNLP/rucola), because the dataset format is made as compatible as possible.
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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](https://huggingface.co/datasets/ai-forever/spellcheck_benchmark).
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### Statistics
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Domains:
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prose 5238
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poetry 609
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### Dataset Summary
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This dataset is a set of samples for testing the spell checker, grammar error correction and ungrammatical text detection models.
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The dataset contains two splits:
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test.json contains samples hand-selected to evaluate the quality of models.
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train.json contains synthetic samples generated in various waysю
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The purpose of creating the dataset was to test an internal spellchecker for [a generative poetry project](https://github.com/Koziev/verslibre), but it can also be useful in other projects, since it does not have an explicit specialization for poetry.
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You can consider this dataset as an extension of [RuCOLA](https://huggingface.co/datasets/RussianNLP/rucola), because the dataset format is made as compatible as possible.
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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](https://huggingface.co/datasets/ai-forever/spellcheck_benchmark).
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### Statistics
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Statistics for test split of the dataset.
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Domains:
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prose 5238
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poetry 609
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