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