| --- |
| language: |
| - ru |
| - alt |
| - av |
| - ba |
| - be |
| - cv |
| - dar |
| - dig |
| - kjh |
| - kk |
| - kv |
| - mhr |
| - os |
| - sah |
| - tt |
| - udm |
| pretty_name: "SuperMinor — assistant instruction prompts in 15 minority languages, RU pivot" |
| task_categories: |
| - translation |
| - text-generation |
| multilinguality: |
| - translation |
| size_categories: |
| - n<1K |
| license: cc-by-4.0 |
| tags: |
| - parallel-corpus |
| - instruction-tuning |
| - low-resource |
| - minority-languages |
| - languages-of-russia |
| configs: |
| - config_name: prompts |
| data_files: data/prompts.parquet |
| default: true |
| --- |
| |
| # SuperMinor — assistant-style instruction prompts in 15 minority languages (RU pivot) |
|
|
| A fully parallel set of **124 assistant-style instruction prompts** (summarize, extract |
| key points, quiz questions, style transfer, translation requests, etc.) translated from |
| Russian into **15 low-resource languages**, most of them minority languages of Russia. |
| Every prompt has a translation in every language — a perfect N-way parallel table. |
|
|
| The prompts imitate how a user talks to a virtual assistant. Together with per-language |
| answers they can be used to teach instruction-following models to converse in languages |
| that today's assistants barely speak. |
|
|
| ## About the SuperMinor project |
|
|
| SuperMinor is a project for the development of minor languages, aimed at collecting and |
| translating data for training language models in instruction format. Virtual |
| assistants mostly work well only with popular languages — and not |
| even all of those. For small languages like Yakut or Chuvash the situation is far |
| worse. |
|
|
| For the project, a small portal was built where native speakers of minor languages |
| could, without any extra hassle, translate and edit specially selected short texts in |
| the form of instructions. The instructions are sets of phrases imitating a conversation |
| with an assistant. By training on such texts, a model learns to communicate in a |
| language new to it, which makes it possible to build all kinds of generative content |
| and neural-network applications in Bashkir, Tatar, the Mari languages, the Ossetian |
| dialects, and the other languages for which the data was collected. |
|
|
| This dataset is the result of the project: native-speaker translations, validated with |
| the **Claude Fable 5** model, which also produced the translations (`fable` rows) for |
| the prompts no volunteer had covered. |
|
|
| ## Languages |
|
|
| | code | language | human | fable | |
| |---|---|---|---| |
| | ru | Russian (pivot) | — | — | |
| | alt | Southern Altai | 124 | 0 | |
| | av | Avar | 2 | 122 | |
| | ba | Bashkir | 124 | 0 | |
| | be | Belarusian | 5 | 119 | |
| | cv | Chuvash | 124 | 0 | |
| | dar | Dargwa | 124 | 0 | |
| | dig | Ossetian (Digor) | 0 | 124 | |
| | kjh | Khakas | 25 | 99 | |
| | kk | Kazakh | 124 | 0 | |
| | kv | Komi-Zyrian | 124 | 0 | |
| | mhr | Meadow Mari | 124 | 0 | |
| | os | Ossetian (Iron) | 0 | 124 | |
| | sah | Yakut | 124 | 0 | |
| | tt | Tatar | 124 | 0 | |
| | udm | Udmurt | 124 | 0 | |
|
|
| Codes are ISO 639-1 where available, ISO 639-2/3 otherwise. `os` is Iron Ossetian, the |
| literary standard; Digor Ossetian has no dedicated ISO code, so `dig` follows the |
| convention of the companion [Little Prince multiparallel corpus of low resource languages of Russia](https://huggingface.co/datasets/averoo/low_resource_parallel_corpora). |
|
|
| ## Data |
|
|
| `data/prompts.parquet` contains one flat row per prompt. Each language is a text column |
| and carries two metadata columns prefixed with its code: |
|
|
| ```json |
| { |
| "ru": "Выпиши десять ключевых слов, описывающих текст:", |
| "ba": "Тексты тасуирлаған ун төп һүҙҙе яҙып ал:", |
| "ba_source": "human", |
| "ba_edited": false |
| } |
| ``` |
|
|
| - `<code>` — the prompt in that language; |
| - `<code>_source` — `human` (translated by a native-speaker volunteer on the SuperMinor |
| portal) or `fable` (no volunteer translation existed; translated by Claude Fable 5); |
| - `<code>_edited` — `true` if the text was touched during the validation pass (typo / |
| consistency / mistranslation fixes for human rows; always `true` for `fable` rows). |
|
|
| When pristine native-speaker text is required, filter on `<code>_source == "human"`. |
|
|
| ## Validation |
|
|
| Every human translation was reviewed and every gap filled in a per-language verification |
| pass (Claude Fable 5), using the project's Little Prince multiparallel corpus and its |
| per-language dictionaries as orthographic and lexical reference. The pass enforced: |
| faithfulness to the Russian prompt, one orthographic convention per language |
| (single palochka form, Cyrillic-only letters where standard, one че/nasal letter for |
| Khakas, degemination per native majority for Bashkir), an exact `XXX` placeholder, |
| digit and trailing-colon parity with the pivot, and terminology consistency across each |
| language's prompt set. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| prompts = load_dataset("averoo/sumi", "prompts")["train"] |
| row = prompts[0] |
| print(row["ru"], "->", row["sah"]) |
| ``` |
|
|
| ## Licensing and intended use |
|
|
| Volunteer translations were contributed to the SuperMinor project for developing |
| language technology for minority languages. Published for language preservation, |
| education, and research; attribution appreciated. |
|
|
