Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Ukrainian
Size:
100K - 1M
License:
| language: | |
| - uk | |
| license: cc-by-4.0 | |
| task_categories: | |
| - text-generation | |
| task_ids: | |
| - language-modeling | |
| tags: | |
| - ukrainian | |
| - social | |
| - telegram | |
| - nlp | |
| - corpus | |
| size_categories: | |
| - 100K<n<1M | |
| # UkrLM Social Corpus | |
| A curated corpus of Ukrainian-language text collected from public social media platforms, designed for language model pretraining and fine-tuning. | |
| This dataset is part of the **UkrLM** initiative — an open effort to build foundational NLP resources for the Ukrainian language. | |
| --- | |
| ## Overview | |
| | Property | Value | | |
| |---|---| | |
| | Language | Ukrainian (`uk`) | | |
| | Sources | Telegram, Reddit | | |
| | License | CC BY 4.0 | | |
| | Format | Parquet | | |
| | Task | Language Modeling | | |
| --- | |
| ## Sources | |
| **Telegram** — public Ukrainian-language channels covering analysis, culture, and community discussion. | |
| **Reddit** — public posts and comments from Ukrainian-language and Ukraine-focused subreddits including r/ukraine, r/ukr, and others. | |
| --- | |
| ## Processing Pipeline | |
| Raw text was passed through a multi-stage cleaning pipeline before inclusion: | |
| **Language & quality filtering** | |
| - Ukrainian only — pre-filtered at collection time | |
| - Minimum 15 characters, maximum 10 000 characters | |
| - Minimum 35% alphabetic character ratio | |
| - Minimum 5 Cyrillic characters per record | |
| - Records consisting primarily of anonymization tokens are discarded | |
| **Noise removal** | |
| - Markdown stripped: `**bold**`, `_italic_`, `~~strikethrough~~`, `> quotes`, headings, inline code | |
| - Ad tails removed line-by-line from the bottom of posts (channel promotions, social links) | |
| - Emoji-heavy lines removed (>50% emoji by character count) | |
| - Separator lines removed: `————`, `___`, etc. | |
| - HTML entities decoded: `>` → `>`, `&` → `&`, etc. | |
| **Anonymization** | |
| - Person names - `<PERSON>` | |
| - Usernames - `<USER>` | |
| - Phone numbers - `<PHONE>` | |
| - Card numbers - `<CARD>` | |
| - Email addresses - `<EMAIL>` | |
| - URLs - `<URL>` | |
| **Deduplication** | |
| - Exact match deduplication on lowercased, whitespace-normalized text | |
| --- | |
| ## Format | |
| Each record is a flat object with the following fields: | |
| ```json | |
| {"text": "...", "source": "telegram", "channel": "nazva_kanalu", "date": "2025-08-05T16:19:38+00:00", "lang": "uk"} | |
| {"text": "...", "source": "reddit", "subreddit": "ukraine", "date": "2024-11-12T10:00:00+00:00", "score": 42, "lang": "uk"} | |
| ``` | |
| | Field | Description | | |
| |---|---| | |
| | `text` | Cleaned Ukrainian text | | |
| | `source` | Origin platform: `telegram` or `reddit` | | |
| | `channel` | Telegram channel identifier (telegram only) | | |
| | `subreddit` | Subreddit name (reddit only) | | |
| | `date` | ISO 8601 timestamp (may be empty) | | |
| | `score` | Reddit upvote score (reddit only) | | |
| | `lang` | Language code — always `uk` | | |
| --- | |
| ## Part of UkrLM | |
| This dataset is one component of the broader **UkrLM** project, which aims to produce open Ukrainian-language datasets and eventually a trained language model. | |
| Related datasets in this initiative: | |
| - `ruvimx/UkrLM-social` — social corpus (this dataset) | |
| - `ruvimx/UkrLM-wiki` — Ukrainian Wikipedia | |
| --- | |
| ## License | |
| This dataset is released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) for **research purposes**. | |
| Source platforms (Telegram, Reddit) retain their own terms of service over the original content. | |
| > Built with ❤️ for the Ukrainian NLP community. |