| --- |
| license: other |
| license_name: mixed-public-sources |
| task_categories: |
| - text-generation |
| - fill-mask |
| language: |
| - ur |
| tags: |
| - urdu |
| - roman-urdu |
| - corpus |
| - pretraining |
| pretty_name: Ali Data — Urdu & Roman Urdu Corpus |
| --- |
| |
| # Ali Data — Urdu & Roman Urdu Corpus |
|
|
| A large public-domain/open collection of **Urdu (اردو)** and **Roman Urdu** text for training Urdu language models. |
|
|
| ## Stats |
| - **21,846,033 unique rows** (deduplicated by exact text) |
| - Format: JSON Lines — each line: `{"text": "...", "source": "..."}` |
| - Scripts: Urdu (Arabic script) + Roman Urdu (Latin script) |
|
|
| ## Sources |
| | Source | Rows (approx) | |
| |---|---| |
| | Hugging Face open datasets (news, QA, sentiment, translation, poetry, instructions) | ~17.5M | |
| | FineWeb-2 `urd_Arab` (web crawl, Urdu script) | ~3.3M | |
| | GitHub open corpora (poetry, SMS, reviews) | ~1.4M | |
| | FineWeb-2 `urd_Latn` (web crawl, Roman Urdu) | ~70K | |
| | Kaggle open datasets (news, poetry, reviews) | ~23K | |
| | BBC Urdu articles + Internet Archive Urdu books | ~160 | |
|
|
| ## Usage |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("PAILLM/ali-data", split="train") |
| # or stream it: |
| ds = load_dataset("PAILLM/ali-data", split="train", streaming=True) |
| ``` |
|
|
| ## Notes |
| - Raw public collection; clean/filter for your training needs (language ID, quality, toxicity) before use. |
| - Respects each source's original license; compiled for research use. |
|
|
