---
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

```python
{
  "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

```bibtex
@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

```bibtex
@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

```python
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**.