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Download README.md from PAILLM/PakFirst: direct link, hf CLI and curl.
- Browser
- Download file 1.39 kB
-
https://huggingface.co/datasets/PAILLM/PakFirst/resolve/main/README.md
- Command line
-
hf download hf://datasets/PAILLM/PakFirst/README.md
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curl -L -o README.md https://huggingface.co/datasets/PAILLM/PakFirst/resolve/main/README.md
1.39 kB
metadata
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
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.