README.md

---
license: cc-by-4.0
language:
- hi
- mr
- ta
task_categories:
- other
tags:
- tokenization
- morphology
- word-segmentation
- indian-languages
---

# morphTok

This repository contains the morphological segmentation data released as part of the paper:

**Morphtok: Morphologically Grounded Tokenization for Indian Languages**

## Description
The dataset provides word-level morphological segmentations for Indian languages.
Each entry consists of a surface word form and its morpheme-level decomposition, represented using the `+` delimiter.

Currently supported languages:
- Hindi (`hindi.csv`)
- Marathi (`marathi.csv`)
- Tamil (`tamil.csv`)

Additional languages may be added in future releases.

print(ds)
## Data Format
Each CSV file contains the following columns:
- `word`: surface form
- `segmentation`: morpheme-level segmentation
- `language`: language code

## Usage
from datasets import load_dataset  

ds = load_dataset(  
    "karthika95/morphTok",  
    data_files={  
        "hindi": ["hindi.csv"],  
        "marathi": ["marathi.csv"],  
        "tamil": ["tamil.csv"],  
    }  
)  
print(ds)

## Acknowledgements
We thank BharatGen for providing resources and access to domain experts who supported the curation of this dataset.

## BibTeX
@article{brahma2025morphtok,
  title={Morphtok: Morphologically grounded tokenization for indian languages},
  author={Brahma, Maharaj and Karthika, NJ and Singh, Atul and Adiga, Devaraj and Bhate, Smruti and Ramakrishnan, Ganesh and Saluja, Rohit and Desarkar, Maunendra Sankar},
  journal={arXiv preprint arXiv:2504.10335},
  year={2025}
}