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| license: mit | |
| task_categories: | |
| - text-generation | |
| language: | |
| - ne | |
| tags: | |
| - nepali | |
| - morphology | |
| - root-affix | |
| - devanagari | |
| - low-resource | |
| pretty_name: 'Nepali Root-Affix Dictionary ' | |
| size_categories: | |
| - 10K<n<100K | |
| # Nepali Root-Affix Dictionary | |
| A word-level morphological segmentation dataset for Nepali, mapping surface | |
| words to their root and affix components (e.g. `अँकाइनु` → `अँका` + `इनु`). | |
| ## Dataset Details | |
| ### Dataset Description | |
| This dataset was built by scraping the **10th edition of the Nepali | |
| dictionary**, parsing the scraped entries into structured word/root pairs, | |
| and then applying a **heuristic rule engine** to extend root-affix coverage | |
| to surface forms not explicitly listed as dictionary headwords (e.g. | |
| inflected or derived forms of a root that *is* in the dictionary). Each row | |
| records the raw surface word, its root, the affix (if any), the | |
| `+`-delimited segmented string, and which process produced that row. | |
| - **Language:** Nepali (ne) | |
| - **Curated by:** [w4ashabii](https://huggingface.co/w4ashabii) | |
| - **License:** MIT | |
| ### Dataset Sources | |
| - **Source text:** Nepali dictionary, 10th edition (https://archive.org/details/nepali-brihat-sabdakosh-nepali-dictionary/page/n11/mode/2up) | |
| ## Dataset Structure | |
| 53,119 rows, single `train` split, CSV format with 5 columns: | |
| | Column | Description | | |
| |---|---| | |
| | `Word` | Raw surface form (e.g. `अँकाइनु`) | | |
| | `Root` | The morphological root (e.g. `अँका`) | | |
| | `Affix` | The affix, or `null` if the word has no segmentable affix | | |
| | `Segmented` | `Root`+`Affix` joined with `+`, or equal to `Word` for unsegmented entries | | |
| | `Source` | How the row was produced — one of `dictionary`, `heuristic`, `none` | | |
| `Source` values: | |
| - **`dictionary`** — root/affix pair taken directly from a dictionary entry | |
| - **`heuristic`** — root/affix inferred by the rule engine from a related dictionary entry, not itself a dictionary headword | |
| - **`none`** — the word has no affix; `Root` == `Word` == `Segmented` | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| Built to support morpheme-boundary prediction for Nepali, particularly | |
| generalization to **out-of-vocabulary (OOV) roots** not seen during | |
| training — see the companion fine-tuned model, | |
| [`w4ashabii/Byt5_OOV_finetuned`](https://huggingface.co/w4ashabii/Byt5_OOV_finetuned). | |
| ### Source Data | |
| #### Data Collection and Processing | |
| 1. The 10th edition of the Nepali dictionary was scraped for headwords and | |
| their listed inflected/derived forms.(https://archive.org/details/nepali-brihat-sabdakosh-nepali-dictionary/page/n11/mode/2up) | |
| 2. The scraped entries were parsed into `(Word, Root)` pairs. | |
| 3. A heuristic rule engine extended coverage beyond literal dictionary | |
| entries — inferring root/affix splits for related surface forms sharing | |
| a dictionary-attested root (e.g. other inflections of a verb root that | |
| itself appears in the dictionary). | |
| 4. Each resulting row was tagged with its `Source` (`dictionary`, | |
| `heuristic`, or `none` for unsegmented words) to keep the two processes | |
| distinguishable downstream. | |
| #### Who are the source data producers? | |
| Nepali dictionary (10th edition) editors/lexicographers, via automated | |
| scraping and heuristic parsing by the dataset curator. | |
| ### Recommendations | |
| If training a model for OOV generalization on this data, split by **Root** | |
| (not by `Word`) to avoid leaking the same root across train/val/test via | |
| different inflections of it. | |
| ## Citation | |
| If you use this dataset, please cite the Nepali dictionary, Sabdakosh 2075 10th edition, | |
| as the underlying source, along with this repository. | |
| **BibTeX:** | |
| ```bibtex | |
| @misc{root_affix_dictionary, | |
| author = {w4ashabii}, | |
| title = {Nepali Root-Affix Dictionary}, | |
| year = {2026}, | |
| publisher = {Hugging Face}, | |
| howpublished = {\url{https://huggingface.co/datasets/w4ashabii/root_affix_dictionary}} | |
| } | |
| ``` |