Datasets:

Hemanth-thunder
/

tamil-lemmatizer-dataset-12k

dataset_info:
  features:
    - name: word
      dtype: string
    - name: lemma
      dtype: string
    - name: id
      dtype: string
  splits:
    - name: train
      num_bytes: 1407836
      num_examples: 12554
  download_size: 521123
  dataset_size: 1407836
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - text-generation
language:
  - ta
pretty_name: tamil_lemmatizer
size_categories:
  - 10K<n<100K

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

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

License

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

Project Links

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

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}
}