Datasets:

abdulhade
/

Kurdishcorpus

language:
  - ku
  - ckb
  - kmr
  - hac
size_categories:
  - 1B<n<10B
license: cc-by-4.0
pretty_name: KurCorpus 2B
tags:
  - kurdish
  - low-resource
  - language-modeling

KurCorpus 2B

KurCorpus 2B is a multidialectal Kurdish text corpus (>2B tokens) for large-scale language modeling and downstream NLP.

Dialects: Sorani (ckb), Kurmanji/Badini (kmr), Hawrami/Gorani (hac)
License: CC BY 4.0
Repo: https://huggingface.co/datasets/abdulhade/Kurdishcorpus
External record: Mendeley Data DOI 10.17632/fb5xhhn6m5.1

TL;DR

Ready for pretraining and finetuning Kurdish LMs
Single field text (UTF-8), offered as large archives or sharded .txt(.gz)
Includes normalization and cleaning (Unicode, orthography, noise removal with placeholders like [URL], [EMAIL])
No official splits; create your own task-specific splits and report dialect coverage

Quickstart

from datasets import load_dataset

# Stream without downloading everything at once (recommended for very large corpora)
ds = load_dataset("abdulhade/Kurdishcorpus", split="train", streaming=True)

for i, ex in enumerate(ds.take(5)):
    print(ex["text"])

cite

@dataset{rawf2025kurcorpus2b, title = {KurCorpus 2B: A Multidialectal 2-Billion-Token Corpus for Kurdish Language Modeling}, author = {Rawf, Karwan Mahdi and Abdullah, Abdullah and Hussein, Amanj and Mohammed, Haukar}, year = {2025}, version = {1}, howpublished = {Mendeley Data}, doi = {10.17632/fb5xhhn6m5.1} }