| --- |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: summary |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1398134525 |
| num_examples: 5330689 |
| - name: test |
| num_bytes: 174587594 |
| num_examples: 666336 |
| download_size: 904533210 |
| dataset_size: 1572722119 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| # Script normalization CKB — noisy → standard Sorani (script_normalization_ckb) |
|
|
| Nearly 6M sentence pairs: the `text` column holds Central Kurdish written with |
| non-standard or distorted characters, `summary` holds the same sentence in standard |
| Sorani orthography. Use it for text normalisation, spell correction, or to learn the |
| character-level mapping rules. |
|
|
| ## At a glance |
|
|
| | | | |
| |---|---| |
| | Rows | 5,997,025 — `train` 5,330,689 / `test` 666,336 | |
| | Columns | `text` (noisy input), `summary` (normalised target) | |
| | Parquet on disk | 904.5 MB (1.57 GB uncompressed) | |
| | Row groups | 667 in the test shard, ~1,000 rows each | |
| | Language | Central Kurdish / Sorani (ckb) | |
|
|
| > **Naming note:** despite the column name, `summary` is **not** a summary — it is |
| > the normalised rewrite of `text`. Both sides carry the same content. |
|
|
| ## How the two sides differ |
|
|
| Measured on 1,000 rows of the `test` split: |
|
|
| | | | |
| |---|---| |
| | Rows where `text` == `summary` | 20 (2%) | |
| | Mean character-level edit distance | 21.5 | |
| | Max edit distance | 85 | |
| | Mean length `text` / `summary` | 69.3 / 67.3 chars | |
|
|
| Which characters get fixed (rows affected out of 1,000): |
|
|
| | Change | Rows | |
| |---|---| |
| | `ي` (U+064A Arabic yeh) → `ی` (U+06CC Farsi yeh) | 682 | |
| | `ة` (U+0629 teh marbuta) → `ە` (U+06D5) | 384 | |
| | `ه` (U+0647) → `ە` (U+06D5) | 397 | |
| | `ث` (U+062B) → `س` (U+0633) | 114 | |
| | `ذ` (U+0630) → `ز` (U+0632) | 68 | |
|
|
| Example pair: |
|
|
| ``` |
| text : يابان بؤ خؤي بش ئه و قه يرانه طه نگوجه له مه ي ئابووري هه ره فراواني ... |
| summary : یابان بۆ خۆی پێش ئەو قەیڕانە تەنگوچەلەمەی ئابووری هەرەفراوانی ... |
| ``` |
|
|
| Some rows are far noisier than character substitution: |
|
|
| ``` |
| text : اهي اهگهر پئشمهرگه نهبايه حكمهطي بهعث عثهي پاقلاه ... |
| summary : ئەی ئەگەر پێشمەرگە نەبووایە حکومەتی بەعس عوسەی پاقلاوەو ... |
| ``` |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("razhan/script_normalization_ckb", split="test") |
| print(ds[0]["text"]) # noisy |
| print(ds[0]["summary"]) # standard |
| |
| # fine-tune any encoder-decoder for normalisation, or mine substitution rules: |
| pairs = ds.select(range(200_000)) |
| ``` |
|
|
| ## Known limitations |
|
|
| - The corpus is synthetic in construction: noise was introduced into clean text, so |
| the error distribution reflects the generator, not real user typos. |
| - `summary` is the target and the column name is misleading (left in place for |
| backwards compatibility). |
| - Only character/orthography-level repair is targeted; it does not correct grammar |
| or word choice, and heavily distorted rows can still normalise to a different |
| token sequence. |
| - Rows are single sentences — no document context. |
|
|
| ## Related |
|
|
| - `razhan/riste` — line-by-line Sorani sentences (a likely source pool). |
| - `razhan/kteb`, `razhan/kteb-dataset` — book text in mixed orthography. |
|
|
