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--- |
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language: |
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- en |
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- hi |
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- pa |
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task_categories: |
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- text-generation |
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- translation |
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pretty_name: "Filtered Multilingual Corpus (EN-HI-PA)" |
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size_categories: |
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- 100K<n<1M |
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license: cc-by-4.0 |
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annotations_creators: |
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- expert-generated |
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source_datasets: |
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- ai4bharat/samanantar |
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tags: |
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- multilingual |
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- indic-languages |
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- parallel-corpus |
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- filtered |
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- cleaned |
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--- |
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# Filtered Multilingual Corpus (EN-HI-PA) |
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## Dataset Description |
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A cleaned and balanced multilingual corpus extracted from the Samanantar dataset, containing parallel sentences in English, Hindi, and Punjabi. |
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## Languages |
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The dataset contains text in three languages: |
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- **English** (`en`) |
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- **Hindi** (`hi`) |
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- **Punjabi** (`pa`) |
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## Dataset Summary |
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This dataset is a filtered subset of the Samanantar parallel corpus, specifically: |
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- **150,000 English sentences** (from EN-HI and EN-PA parallel data) |
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- **150,000 Hindi sentences** (from EN-HI parallel data) |
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- **150,000 Punjabi sentences** (from EN-PA parallel data) |
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All sentences have been cleaned, deduplicated, and quality-filtered for language modeling purposes. |
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## Supported Tasks |
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- Multilingual language model training |
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- Cross-lingual transfer learning |
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- Machine translation fine-tuning |
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- Multilingual text generation |
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## Dataset Structure |
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```python |
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{ |
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"en": ["English sentence 1", "English sentence 2", ...], |
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"hi": ["Hindi sentence 1", "Hindi sentence 2", ...], |
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"pa": ["Punjabi sentence 1", "Punjabi sentence 2", ...] |
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} |
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``` |
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## Source & Thanks |
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This dataset is derived from the Samanantar parallel corpus. Special thanks to AI4Bharat for creating and sharing this valuable resource. |
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## Citation |
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### Original Dataset |
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```bibtex |
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@inproceedings{samanantar_2021, |
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title = {Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages}, |
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author = {Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Kumar Deepak and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra}, |
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booktitle = {Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks}, |
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year = {2021}, |
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url = {https://arxiv.org/abs/2104.05596} |
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} |
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``` |
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### This Dataset |
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```bibtex |
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@software{filtered_multilingual_2026, |
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title = {multilingual-corpus}, |
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author = {Manish Tiwari}, |
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year = {2026}, |
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url = {https://huggingface.co/datasets/PredictiveManish/multilingual-corpus}, |
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note = {Cleaned and balanced multilingual corpus for language modeling} |
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} |
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``` |
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## Usage |
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### Direct Loading |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("PredictiveManish/multilingual-corpus") |
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english_sentences = dataset["train"]["en"] |
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hindi_sentences = dataset["train"]["hi"] |
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punjabi_sentences = dataset["train"]["pa"] |
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``` |
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## License |
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This dataset is licensed under **CC-BY 4.0**. |
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