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  ---
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- task_categories:
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- - text-generation
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  language:
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  - en
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  - hi
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  - pa
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- pretty_name: tribhasha
 
 
 
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  size_categories:
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- - 1M<n<10M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
 
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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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+
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+ # Filtered Multilingual Corpus (EN-HI-PA)
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+
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+ ## Dataset Description
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+
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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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+
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+ ## Languages
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+
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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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+
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+ ## Dataset Summary
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+
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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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+
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+ All sentences have been cleaned, deduplicated, and quality-filtered for language modeling purposes.
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+
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+ ## Supported Tasks
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+
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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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+
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+ ## Dataset Structure
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+
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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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+
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+ ## Source & Thanks
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+
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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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+
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+ ## Citation
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+
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+ ### Original Dataset
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+
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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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+
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+ ### This Dataset
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+
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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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+
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+ ## Usage
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+
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+ ### Direct Loading
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("PredictiveManish/multilingual-corpus")
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+
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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**.