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--- |
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annotations_creators: |
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- found |
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- machine-generated |
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language: |
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- myv |
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- ru |
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language_creators: |
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- found |
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- machine-generated |
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license: |
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- cc-by-sa-4.0 |
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multilinguality: |
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- translation |
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pretty_name: Erzya-Russian parallel corpus |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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tags: |
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- erzya |
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- mordovian |
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task_categories: |
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- translation |
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task_ids: [] |
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--- |
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# Dataset Card for **slone/myv_ru_2022** |
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## Dataset Description |
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- **Repository:** https://github.com/slone-nlp/myv-nmt |
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- **Paper:**: https://arxiv.org/abs/2209.09368 |
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- **Point of Contact:** @cointegrated |
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### Dataset Summary |
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This is a corpus of parallel Erzya-Russian words, phrases and sentences, collected in the paper [The first neural machine translation system for the Erzya language](https://arxiv.org/abs/2209.09368). |
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Erzya (`myv`) is a language from the Uralic family. It is spoken primarily in the Republic of Mordovia and some other regions of Russia and other post-Soviet countries. We use the Cyrillic version of its script. |
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The corpus consists of the following parts: |
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| name | size | composition | |
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| -----| ---- | -------| |
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|train | 74503 | parallel words, phrases and sentences, mined from dictionaries, books and web texts | |
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| dev | 1500 | parallel sentences mined from books and web texts | |
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| test | 1500 | parallel sentences mined from books and web texts | |
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| mono | 333651| Erzya sentences mined from books and web texts, translated to Russian by a neural model | |
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The dev and test splits contain sentences from the following sources |
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| name | size | description| |
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| ---------------|----| -------| |
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|wiki |600 | Aligned sentences from linked Erzya and Russian Wikipedia articles | |
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|bible |400 | Paired verses from the Bible (https://finugorbib.com) | |
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|games |250 | Aligned sentences from the book *"Сказовые формы мордовской литературы", И.И. Шеянова, 2017, НИИ гуманитарых наук при Правительстве Республики Мордовия, Саранск* | |
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|tales |100 | Aligned sentences from the book *"Мордовские народные игры", В.С. Брыжинский, 2009, Мордовское книжное издательство, Саранск* | |
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|fiction |100 | Aligned sentences from modern Erzya prose and poetry (https://rus4all.ru/myv) | |
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|constitution | 50 | Aligned sentences from the Soviet 1938 constitution | |
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To load the first three parts (train, validation and test), use the code: |
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```Python |
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from datasets import load_dataset |
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data = load_dataset('slone/myv_ru_2022') |
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``` |
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To load all four parts (included the back-translated data), please specify the data files explicitly: |
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```Python |
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from datasets import load_dataset |
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data_extended = load_dataset( |
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'slone/myv_ru_2022', |
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data_files={'train':'train.jsonl', 'validation': 'dev.jsonl', 'test': 'test.jsonl', 'mono': 'back_translated.jsonl'} |
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) |
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``` |
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### Supported Tasks and Leaderboards |
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- `translation`: the dataset may be used to train `ru-myv` translation models. There are no specific leaderboards for it yet, but if you feel like discussing it, welcome to the comments! |
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### Languages |
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The main part of the dataset (`train`, `dev` and `test`) consists of "natural" Erzya (Cyrillic) and Russian sentences, translated to the other language by humans. There is also a larger Erzya-only part of the corpus (`mono`), translated to Russian automatically. |
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## Dataset Structure |
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### Data Instances |
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All data instances have three string fields: `myv`, `ru` and `src` (the last one is currently meaningful only for dev and test splits), for example: |
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``` |
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{'myv': 'Сюкпря Пазонтень, кие кирвазтизе Титэнь седейс тынк кисэ секе жо бажамонть, кона палы минек седейсэяк!', |
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'ru': 'Благодарение Богу, вложившему в сердце Титово такое усердие к вам.', |
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'src': 'bible'} |
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``` |
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### Data Fields |
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- `myv`: the Erzya text (word, phrase, or sentence) |
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- `ru`: the corresponding Russian text |
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- `src`: the source of data (only for dev and test splits) |
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### Data Splits |
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- train: parallel sentences, words and phrases, collected from various sources. Most of them are aligned automatically. Noisy. |
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- dev: 1500 parallel sentences, selected from the 6 most reliable and diverse sources. |
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- test: same as dev. |
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- mono: Erzya sentences collected from various sources, with the Russian counterpart generated by a neural machine translation model. |
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## Dataset Creation |
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### Curation Rationale |
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This is, as far as we know, the first publicly available parallel Russian-Erzya corpus, and the first medium-sized translation corpus for Erzya. |
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We hope that it sets a meaningful baseline for Erzya machine translation. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The dataset was collected from various sources (see below). |
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The texts were spit in sentences using the [razdel]() package. |
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For some sources, sentences were filtered by language using the [slone/fastText-LID-323](https://huggingface.co/slone/fastText-LID-323) model. |
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For most of the sources, `myv` and `ru` sentences were aligned automatically using the [slone/LaBSE-en-ru-myv-v1](https://huggingface.co/slone/LaBSE-en-ru-myv-v1) sentence encoder |
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and the code from [the paper repository](https://github.com/slone-nlp/myv-nmt). |
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#### Who are the source language producers? |
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The dataset comprises parallel `myv-ru` and monolingual `myv` texts from diverse sources: |
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- 12K parallel sentences from the Bible (http://finugorbib.com); |
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- 3K parallel Wikimedia sentences from OPUS; |
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- 42K parallel words or short phrases collected from various online dictionaries (); |
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- the Erzya Wikipedia and the corresponding articles from the Russian Wikipedia; |
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- 18 books, including 3 books with Erzya-Russian bitexts (http://lib.e-mordovia.ru); |
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- Soviet-time books and periodicals (https://fennougrica.kansalliskirjasto.fi); |
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- The Erzya part of Wikisource (https://wikisource.org/wiki/Main_Page/?oldid=895127); |
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- Short texts by modern Erzya authors (https://rus4all.ru/myv/); |
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- News articles from the Erzya Pravda website (http://erziapr.ru); |
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- Texts found in LiveJournal (https://www.livejournal.com) by searching with the 100 most frequent Erzya words. |
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### Annotations |
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No human annotation was involved in the data collection. |
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### Personal and Sensitive Information |
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All data was collected from public sources, so no sensitive information is expected in them. |
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However, some sentences collected, for example, from news articles or LiveJournal posts, can contain personal data. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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Publication of this dataset may attract some attention to the endangered Erzya language. |
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### Discussion of Biases |
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Most of the dataset has been collected by automatical means, so it may contain errors and noise. |
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Some types of these errors are systemic: for example, the words for "Erzya" and "Russian" are often aligned together, |
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because they appear in the corresponding Wikipedias on similar positions. |
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### Other Known Limitations |
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The dataset is noisy: some texts in it may be ungrammatical, in a wrong language, or poorly aligned. |
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## Additional Information |
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### Dataset Curators |
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The data was collected by David Dale (https://huggingface.co/cointegrated). |
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### Licensing Information |
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The status of the dataset is not final, but after we check everything, we hope to be able to distribute it under the [CC-BY-SA license](http://creativecommons.org/licenses/by-sa/4.0/). |
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### Citation Information |
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[TBD] |
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