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README.md
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data_files:
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- split: 2026_06_27_part
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path: kmr_Latn/2026_06_27_part-*
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---
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data_files:
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- split: 2026_06_27_part
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path: kmr_Latn/2026_06_27_part-*
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language:
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- ku
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- kmr
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- ckb
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- diq
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license: cc-by-4.0
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pretty_name: Kurdish Web Corpus
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size_categories:
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- 100K<n<1M
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task_categories:
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- text-generation
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- fill-mask
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---
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# Dataset Card for Kurdish Web Corpus (Deduplicated)
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## Dataset Summary
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A multilingual corpus of web text in three Kurdish/Zaza varieties — Kurmanji Kurdish
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(`kmr_Latn`), Sorani Kurdish (`ckb_Arab`), and Zazaki (`diq_Latn`) — scraped from Kurdish-language
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websites, language-identified with [GlotLID](https://github.com/cisnlp/GlotLID), and
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deduplicated (exact + MinHash near-duplicate removal). See the "Dataset Creation" section below
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for the full pipeline.
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Rows, by language config:
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| config | language | script | rows | publishers |
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|-------------|-------------------|--------|---------|------------|
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| `kmr_Latn` | Kurmanji Kurdish | Latin | 517,335 | 51 |
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| `ckb_Arab` | Sorani Kurdish | Arabic | 158,266 | 15 |
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| `diq_Latn` | Zazaki | Latin | 319 | 12 |
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## Supported Tasks
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Intended as pretraining/fine-tuning text for causal or masked language modeling in
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under-resourced Kurdish and Zaza varieties. No task-specific labels are provided.
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## Languages
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- `kmr` — Kurmanji (Northern Kurdish), Latin script
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- `ckb` — Sorani (Central Kurdish), Arabic script
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- `diq` — Zazaki (Dimli), Latin script
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Language and `lang_score` were assigned by GlotLID at scrape time (see
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[kurdish_scrapy](https://github.com/cikay/kurdish_scrapy)) and are carried through unchanged;
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they are not re-verified by the dedup pipeline.
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## Dataset Structure
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### Data Instances
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```json
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{
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"url": "https://example.com/page-slug",
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"text": "Full page text ...",
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"lang": "kmr_Latn",
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"lang_score": 0.98,
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"publish_date": "2024-01-01",
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"publisher": "example.com",
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"title": "Page title",
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"word_count": 342
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}
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```
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### Data Fields
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- `url` (`string`): the page's source URL; doubles as a unique document ID.
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- `text` (`string`): full page text, NFC-normalized.
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- `lang` (`string`): GlotLID language/script code, one of `kmr_Latn`, `ckb_Arab`, `diq_Latn`.
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- `lang_score` (`float32`): GlotLID confidence score for `lang`.
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- `publish_date` (`string`, nullable): publication/posting date as recorded by the source site.
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- `publisher` (`string`): source site's domain.
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- `title` (`string`): page title.
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- `word_count` (`int32`): whitespace-split word count of `text`, computed from the final
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deduplicated text (not carried over from the source).
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### Data Splits
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There is no train/dev/test split. Instead, the split name is a crawl snapshot date: it states
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that all data was collected up to and including that date. For example, a split named
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`2026_6_27` means the crawl covers everything gathered through June 27, 2026.
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A `_part` suffix (e.g. `2026_6_27_part`) means the crawl was interrupted before it finished —
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it did **not** manage to collect all data through that date, so treat it as a partial/incomplete
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snapshot rather than a clean cutoff. Later, complete uploads may supersede an earlier `_part`
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snapshot for the same or a later date.
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Row counts for the current snapshot:
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| config | rows |
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|-------------|---------|
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| `kmr_Latn` | 517,335 |
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| `ckb_Arab` | 158,266 |
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| `diq_Latn` | 319 |
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## Dataset Creation
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### Source Data
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Pages were scraped from Kurdish-language websites with
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[kurdish_scrapy](https://github.com/cikay/kurdish_scrapy), with page text extracted via
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[trafilatura](https://github.com/adbar/trafilatura) and language-identified with GlotLID at
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scrape time. Exact- and near-duplicate removal was then run with
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[dedup](https://github.com/cikay/dedup) (this repo).
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## Considerations for Using the Data
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- Publisher representation is highly uneven, especially for `kmr_Latn` and `ckb_Arab`, where a
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single site (`anf-news.com`, `kurdistan24.net`) accounts for a large share of rows — expect
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the corresponding editorial style/bias to dominate.
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- `diq_Latn` is extremely small (319 rows) relative to the other two varieties.
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- `lang`/`lang_score` reflect automatic language ID and were not manually verified.
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