license: cc-by-4.0
language:
- en
- hi
- gu
- ks
- te
- kn
- pa
- or
- ur
- sd
- doi
Indic Parallel Corpus: 11 Indian Language Pairs for Machine Translation
This repository contains a parallel corpus for machine translation across 11 Indian language pairs. The data is curated to cover three distinct domains: Governance, Health, and General. This dataset is designed to help researchers and developers build and evaluate robust machine translation models for Indian languages.
Dataset Description
The corpus provides parallel sentences for a variety of language pairs, with a focus on Hindi as a pivot language. All translation pairs are bidirectional. The data has been sourced and cleaned to be useful for training Neural Machine Translation (NMT) models.
Languages Covered
The dataset includes the following 11 language pairs:
| Source Language | Target Language | Language Codes |
|---|---|---|
| Hindi | Gujarati | hi - gu |
| Hindi | Kashmiri | hi - ks |
| Hindi | Telugu | hi - te |
| Hindi | Kannada | hi - kn |
| Hindi | Punjabi | hi - pa |
| Hindi | Oriya | hi - or |
| Hindi | Urdu | hi - ur |
| Hindi | Sindhi | hi - sd |
| Hindi | Dogri | hi - doi |
| English | Hindi | en - hi |
| Telugu | English | te - en |
Dataset Structure
The data is organized by language pair and domain. Each language pair directory contains sub-directories for the specific domains.
Domains
- Governance: Includes sentences from government documents, press releases, and legal texts.
- Health: Comprises text from medical journals, healthcare advisories, and public health communications.
- General: A broad category including sentences from news articles, websites, and miscellaneous sources.
Data Format
Each dataset configuration is provided as a single tab-separated text file (.txt).
Each line in the file represents a parallel sentence pair, with the source language sentence and the target language sentence separated by a single tab character (\t).
How to Use
You can easily load this dataset using the Hugging Face datasets library. You will need to specify the configuration name, which is a combination of the language pair and the domain.
The configuration name follows the pattern: {src_lang}-{tgt_lang}_{domain}. For example, to load the Hindi-Gujarati pair from the general domain, you would use hi-gu_general.
# Make sure you have the 'datasets' library installed
# pip install datasets
from datasets import load_dataset
# Example 1: Load the English-Hindi pair from the Health domain
en_hi_health_dataset = load_dataset("HimangY/CoRil-Parallel", "en-hi_health")
# Example 2: Load the Hindi-Kannada pair from the Governance domain
hi_kn_gov_dataset = load_dataset("HimangY/CoRil-Parallel", "hi-kn_governance")
# Access the data splits (e.g., train)
print(en_hi_health_dataset['train'][0])