| --- |
| dataset_info: |
| features: |
| - name: src_text |
| dtype: large_string |
| - name: tgt_text |
| dtype: large_string |
| - name: src_lang |
| dtype: large_string |
| - name: tgt_lang |
| dtype: large_string |
| - name: source |
| dtype: large_string |
| splits: |
| - name: train |
| num_bytes: 954517359 |
| num_examples: 2967678 |
| download_size: 449761134 |
| dataset_size: 954517359 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Chagatai / Central-Asian Parallel Corpus |
|
|
| A unified parallel-translation dataset assembled from the sources catalogued in |
| `Datasets_chagatai_final(1) (1).xlsx`. Every underlying corpus is normalised to a |
| single flat schema so it can be loaded and mixed in one line. |
|
|
| ## Schema |
|
|
| | column | type | description | |
| |------------|--------|-----------------------------------------------| |
| | `src_text` | string | segment in the source language | |
| | `tgt_text` | string | its translation in the target language | |
| | `src_lang` | string | source language code (normalised, see below) | |
| | `tgt_lang` | string | target language code (normalised) | |
| | `source` | string | which underlying dataset the pair came from | |
|
|
| Language codes are normalised to short ISO-639 forms: `ar` Arabic, `ru` Russian, |
| `en` English, `fa` Persian, `kk` Kazakh, `tk` Turkmen, `tr` Turkish, `ug` Uyghur, |
| `uz` Uzbek (Northern/Latin), `uzs` Uzbek (Southern/Arabic script), `azb` South |
| Azerbaijani, `chg` Chagatai. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("parquet", data_files="data/chagatai_parallel.parquet")["train"] |
| |
| # or the Arrow copy written by the build script: |
| from datasets import load_from_disk |
| ds = load_from_disk("hf_dataset") |
| ``` |
|
|
| ## Contents (current build) |
|
|
| Built from **every HuggingFace source** in the catalog (public + gated, which |
| required a token with granted access) **plus the local Chagatai corpora** (Eric |
| Schluessel textbook, dictionary, exercises — downloaded from Google Drive). |
| Totals are after cleaning (trim, drop empty/duplicate pairs, strip BOM/zero-width). |
|
|
| **24 language pairs · 2,967,678 pairs total.** |
|
|
| | language pair | rows | source dataset(s) | |
| |---------------|---------|-------------------| |
| | en → ar | 959,928 | sentence-transformers/parallel-sentences-opus-100 | |
| | kk → tr | 711,658 | liboaccn/nmt-parallel-corpus + issai/kazparc | |
| | azb → en | 549,604 | Kartal-Ol/en-azb-548k + facebook/flores | |
| | ar → kk | 346,680 | liboaccn/nmt-parallel-corpus | |
| | kk → en | 290,875 | issai/kazparc | |
| | uz → uzs | 37,163 | tahrirchi/lutfiy | |
| | ar → en | 17,814 | haoranxu/X-ALMA-Parallel-Data + kingkaung/islamqainfo | |
| | en → fa | 8,579 | aiana94/polynews-parallel | |
| | kk → ug | 4,499 | liboaccn/nmt-parallel-corpus | |
| | ug → en | 3,087 | kingkaung/islamqainfo + facebook/flores | |
| | tr → en | 2,945 | kingkaung/islamqainfo | |
| | ar → ru | 2,385 | aiana94/polynews-parallel | |
| | en → uzs | 2,530 | tahrirchi/lutfiy | |
| | kk → tk | 1,116 | liboaccn/nmt-parallel-corpus | |
| | **Chagatai (chg + chg_latn)** | **28,815** | **Eric Schluessel textbook / dictionary / exercises** | |
| | chg → kk | 5,076 | textbook + dictionary | |
| | chg → en | 2,912 | textbook + exercises | |
| | chg → ru | 2,682 | textbook | |
| | chg → tr | 2,587 | textbook | |
| | chg → uz | 2,433 | textbook | |
| | chg_latn → {en,kk,ru,tr,uz} | 2,904 / 2,542 / 2,681 / 2,574 / 2,424 | textbook + exercises | |
| | **total** | **2,967,678** | | |
|
|
| `chg` = Chagatai in Arabic script, `chg_latn` = Chagatai in Latin transliteration. |
| See `stats.json` for the exact per-source / per-pair breakdown of the last build. |
|
|
| The Chagatai loaders read three local files that must sit next to the script |
| (download them from the Google Drive links in the catalog): |
|
|
| - `Textbook on Chagatai (Eric Schluessel).xlsx` |
| - `ЛИНГВИСТЕРГЕ.xlsx` (dictionary → Kazakh definitions) |
| - `Eric_Exercise .xlsx` |
|
|
| If they are absent the build simply skips them and logs why. |
|
|
| ## Not yet included |
|
|
| - `Dataset_OCR` (Chagatai OCR, on institute SharePoint) and `output_images_clean` |
| (images) — not sentence-parallel text, so out of scope for this schema. |
| - `uy_ts_articles` (Uyghur) and the monolingual `cis-lmu/GlotSparse`, |
| `Uyghur-Corpus/Uyghur-Corpus` — monolingual, no target side. |
|
|
| ## Rebuild / extend |
|
|
| ```bash |
| pip install datasets pyarrow huggingface_hub pandas |
| |
| # public sources only: |
| python build_dataset.py |
| |
| # include the gated Kazakh sources (after requesting access on each dataset page): |
| export HF_TOKEN=hf_xxx |
| python build_dataset.py |
| ``` |
|
|
| The source registry (`SOURCES` in `build_dataset.py`) is config-driven — add a |
| local Chagatai CSV by appending one entry with a small loader function. |
|
|
