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--- |
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language: |
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- ru |
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license: cc-by-nc-sa-4.0 |
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--- |
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# TL;DR: Text Normalization for Social Media Corpus |
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## Dataset Description |
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This dataset contains examples of Russian-language texts from social networks |
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with distorted spelling (typos, abbreviations, etc.) and their normalized versions |
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in json format. A detailed spelling correction protocol is given in the TBA article. |
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The dataset size is 1930 sentence pairs. In each pair, the sentences are tokenized |
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by words, and the lengths of both sentences in the pair are equal. If a token |
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had to be divided during the normalization process, the division point is marked |
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with the "|" symbol. If two tokens were combined, the placeholder <conjoint> is |
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set in place of the second token (or <hyphen>, if the final spelling contains |
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a hyphen at the place of the combination). Punctuation was excluded during |
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pre-processing. Dataset excerpt: |
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``` |
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... |
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[ |
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[ |
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"Где", |
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"то", |
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"сейчас", |
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"один", |
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"сисадмин", |
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"Ищу", |
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"работу", |
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"опыт", |
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"работы", |
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"Google", |
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"YouTube" |
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], |
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[ |
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"Где-то", |
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"<hyphen>", |
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"сейчас", |
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"один", |
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"системный|администратор", |
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"Ищу", |
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"работу", |
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"опыт", |
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"работы", |
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"<foreign>", |
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"<foreign>" |
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] |
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], |
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... |
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``` |
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## Source Data |
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[Social networks subcorpus](https://ruscorpora.ru/en/corpus/blogs) from the [Russian National Corpus](https://ruscorpora.ru/en). |
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## License |
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CC-BY-NC-SA-4.0 |
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## Citation |
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TBA |
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