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