Hemanth-thunder/tamil-lemmatizer-dataset-12k

A high-quality dataset curated for training and evaluating Tamil lemmatization models. This dataset contains inflected Tamil word forms paired with their base lemma, enabling machine learning models to learn morphological normalization for Tamil.

Dataset Overview

Tamil is a morphologically rich language where a single verb can appear in hundreds of surface forms due to tense, person, gender, number, case, and auxiliary markers. A lemmatizer helps convert these complex inflected forms into the dictionary base form.

This dataset is designed for:

• Lemmatization model training
• NLP text normalization
• Morphological analysis
• Character-level seq2seq experiments
• Linguistic research in Tamil morphology

Features

Field	Description
word	Inflected Tamil word (input)
lemma	Base dictionary form (target)
id	id number for Tamil word

Load Example

from datasets import load_dataset

ds = load_dataset("Hemanth-thunder/tamil-lemma-data")
print(ds)

Intended Use

• Training LLM-based Tamil lemmatizers
• Building linguistic tools such as spell checkers, morphological analyzers
• Improving downstream NLP tasks: MT, ASR, sentiment, QA
• Academic and applied research

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Motivation

Traditional rule-based Tamil morphological analyzers are limited by ambiguity and coverage. This dataset provides a large, clean, aligned mapping of word → lemma to train modern neural models such as:

• Seq2Seq (LSTM/GRU)
• Transformers
• Causal LLMs with adapters
• Character-level encoder–decoder models

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License

MIT License (recommended for open NLP datasets). Update if you intend a different license.

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Project Links

• PyPI: https://pypi.org/project/tamil-lemmatizer/
• GitHub: https://github.com/Hemanthkumar2112/tamil-lemmatizer
• Author Profile: https://huggingface.co/Hemanth-thunder

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Citation

Please cite this dataset as:

@dataset{hemanth_thunder_2025_tamil_lemmatizer,
  author       = {Hemanth-thunder},
  title        = {Tamil Lemmatizer Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/Hemanth-thunder/tamil-lemma-data}
}