metadata
license: cc-by-4.0
language:
- or
size_categories:
- 1M<n<10M
pretty_name: ODEN-Indcorpus
pipeline_tag: text-generation
ODEN‑Indcorpus 📚
ODEN‑Indcorpus is a 3.7‑million‑line Odia mixed text collection curated from
fiction, dialogue, encyclopaedia, Q‑A and community writing derived from the ODEN initiative.
After thorough normalisation and de‑duplication it serves as a robust substrate for training
Odia‑centric tokenizers, language models and embedding spaces.
| Split | Lines |
|---|---|
| Train | 3,373,817 |
| Validation | 187,434 |
| Test | 187,435 |
| Total | 3,748,686 |
The material ranges from conversational snippets to encyclopaedic passages and reflects both classical and contemporary Odia usage, ensuring vocabulary coverage across formal and colloquial registers.
Quick‑start
from datasets import load_dataset
ds = load_dataset("BBSRguy/ODEN-Indcorpus", split="train", streaming=True)
for line in ds.take(3):
print(line["text"])
Intended uses
- Training Byte‑/SentencePiece tokenizers optimised for Odia
- Pre‑training or continued training of Odia‑focused LLMs / ALMs
- Embedding evaluation, topic modelling, text classification baselines
Citation
@misc{oden-indcorpus-2025,
title = {ODEN‑Indcorpus: A 3.7‑M line Odia Text Dataset},
author = {@BBSRguy},
year = 2025,
howpublished = {\url{https://huggingface.co/datasets/BBSRguy/ODEN-Indcorpus}}
}