Datasets:
Word string | Root string | Affix string | Segmented string | Source string |
|---|---|---|---|---|
अ | अ | null | अ | none |
अँ | अँ | null | अँ | none |
अँकाइ | आँक् | आइ | आँक्+आइ | dictionary |
अँकाइनु | अँका | इनु | अँका+इनु | heuristic |
अँकाउनु | अँकाउ | नु | अँकाउ+नु | heuristic |
अँगरखा | अँगरखा | null | अँगरखा | none |
अँगार | अँगा | र | अँगा+र | heuristic |
अँगारे | अँगारे | null | अँगारे | none |
अँगाल्नु | अँगालो | नु | अँगालो+नु | dictionary |
अँगालाइ | अँगाला | इ | अँगाला+इ | heuristic |
अँगालिनु | अँगालि | नु | अँगालि+नु | heuristic |
अँगाले | अँगालो | ए | अँगालो+ए | dictionary |
अँगालो | अँगा | लो | अँगा+लो | heuristic |
अँगुठी | अँगुठी | null | अँगुठी | none |
अँगुठो | अँगुठो | null | अँगुठो | none |
अँगेठी | अँगेठी | null | अँगेठी | none |
अँगेर | अँगे | र | अँगे+र | heuristic |
अँगेरी | अँगेरी | null | अँगेरी | none |
अँगोछा | अँगोछा | null | अँगोछा | none |
अँचेट्नु | अँचेट् | नु | अँचेट्+नु | heuristic |
अँचेटाइ | अँचेटा | इ | अँचेटा+इ | heuristic |
अँचेटाइनु | अँचेटा | इनु | अँचेटा+इनु | heuristic |
अँचेटाउनु | अँचेटाउ | नु | अँचेटाउ+नु | heuristic |
अँचेटिनु | अँचेटि | नु | अँचेटि+नु | heuristic |
अँचेला | अँचेला | null | अँचेला | none |
अँजुल्नु | अँजुली | नु | अँजुली+नु | dictionary |
अँजुलाइ | अँजुला | इ | अँजुला+इ | heuristic |
अँजुलिनु | अँजुलि | नु | अँजुलि+नु | heuristic |
अँजुली | अँजुली | null | अँजुली | none |
अँटाइ | आँट् | आइ | आँट्+आइ | dictionary |
अँठिनु | आँठ | इ+नु | आँठ+इ+नु | dictionary |
अँठिया | अँठिया | null | अँठिया | none |
अँठ्याइ | अँठ्याउ | आइ | अँठ्याउ+आइ | dictionary |
अँठ्याइनु | अँठ्या | इनु | अँठ्या+इनु | heuristic |
अँठ्याउनु | आँठे | याउ+नु | आँठे+याउ+नु | dictionary |
अँडिर | अँडि | र | अँडि+र | heuristic |
अँडुवा | अण्ड | उवा | अण्ड+उवा | dictionary |
अँतेर्नु | अँतेर् | नु | अँतेर्+नु | heuristic |
अँतेराइ | अँतेरा | इ | अँतेरा+इ | heuristic |
अँतेरिनु | अँतेरि | नु | अँतेरि+नु | heuristic |
अँधेर | अँधे | र | अँधे+र | heuristic |
अँधेरी | अँधेरी | null | अँधेरी | none |
अँधेरो | अँधे | रो | अँधे+रो | heuristic |
अँध्यार | अँध्या | र | अँध्या+र | heuristic |
अँध्यारमुखे | अँध्यारमुखे | null | अँध्यारमुखे | none |
अँध्यारो | अँध्या | रो | अँध्या+रो | heuristic |
अँप | अँ | प | अँ+प | heuristic |
अंश | अंश | null | अंश | none |
अंशतः | अंशतः | null | अंशतः | none |
अंशदान | अंशदा | न | अंशदा+न | heuristic |
अंशधर | अंशध | र | अंशध+र | heuristic |
अंशपत्र | अंशपत् | र | अंशपत्+र | heuristic |
अंशबखेडा | अंशबखेडा | null | अंशबखेडा | none |
अंशबन्डा | अंशबन्डा | null | अंशबन्डा | none |
अंशावतार | अंशावता | र | अंशावता+र | heuristic |
अंशु | अंशु | null | अंशु | none |
अंशुमान् | अंशुमान् | null | अंशुमान् | none |
अंशुमाली | अंशुमाली | null | अंशुमाली | none |
अंशुवर्मा | अंशुवर् | मा | अंशुवर्+मा | heuristic |
अंस | अं | स | अं+स | heuristic |
अंसियार | अंसिया | र | अंसिया+र | heuristic |
अंसियारी | अंसियारी | null | अंसियारी | none |
अंस्याहा | अंस् | याहा | अंस्+याहा | heuristic |
अउ | अ | उ | अ+उ | heuristic |
अऋणी | अ | ऋणी | अ+ऋणी | dictionary |
अकट | अक | ट | अक+ट | heuristic |
अकटविकट | अकटविक | ट | अकटविक+ट | heuristic |
अकटिलो | अकटि | लो | अकटि+लो | heuristic |
अकड | अकड | null | अकड | none |
अकडम | अकड | म | अकड+म | heuristic |
अकडाइ | अकड | आइ | अकड+आइ | dictionary |
अकडाइनु | अकडा | इनु | अकडा+इनु | heuristic |
अकडाउनु | अकडाउ | नु | अकडाउ+नु | heuristic |
अकडिनु | अकडि | नु | अकडि+नु | heuristic |
अकडी | अकडी | null | अकडी | none |
अकड्याइ | अकड् | याइ | अकड्+याइ | heuristic |
अकड्याइनु | अकड्या | इनु | अकड्या+इनु | heuristic |
अकड्याउनु | अकड्याउ | नु | अकड्याउ+नु | heuristic |
अकण्टक | अकण्ट | क | अकण्ट+क | heuristic |
अकथनीय | अकथनीय | null | अकथनीय | none |
अकथित | अकथि | त | अकथि+त | heuristic |
अकथ्य | अकथ्य | null | अकथ्य | none |
अकपट | अकप | ट | अकप+ट | heuristic |
अकबर | अकब | र | अकब+र | heuristic |
अकबरी | अकबरी | null | अकबरी | none |
अकबरे | अकबरे | null | अकबरे | none |
अकबाल | अकबा | ल | अकबा+ल | heuristic |
अकमक | अकम | क | अकम+क | heuristic |
अकमकाइ | अकमका | इ | अकमका+इ | heuristic |
अकमकाइनु | अकमका | इनु | अकमका+इनु | heuristic |
अकमकाउनु | अकमकाउ | नु | अकमकाउ+नु | heuristic |
अकमकिनु | अकमकि | नु | अकमकि+नु | heuristic |
अकमक्क | अकमक् | क | अकमक्+क | heuristic |
अकमक्याइँ | अकमक् | याइँ | अकमक्+याइँ | heuristic |
अकमक्याइनु | अकमक्या | इनु | अकमक्या+इनु | heuristic |
अकमक्याउनु | अकमक्याउ | नु | अकमक्याउ+नु | heuristic |
अकम्पित | अकम्पि | त | अकम्पि+त | heuristic |
अकर | अक | र | अक+र | heuristic |
अकरकरा | अकरकरा | null | अकरकरा | none |
अकरण | अकरण | null | अकरण | none |
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
- 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 entryheuristic— root/affix inferred by the rule engine from a related dictionary entry, not itself a dictionary headwordnone— 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.
Source Data
Data Collection and Processing
- 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)
- The scraped entries were parsed into
(Word, Root)pairs. - 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).
- Each resulting row was tagged with its
Source(dictionary,heuristic, ornonefor 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:
@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}}
}
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