Paper accepted for publication in the Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)! [pdf(arXiv)]
MILPaC (Multilingual Indian Legal Parallel Corpus) is the first parallel corpus of legal text in Indian languages, consisting of 3 high-quality datasets (MILPaC-IP, MILPaC-CCI-FAQ, and MILPaC-Acts) compiled from reliable sources of legal information in India. It includes parallel text units in English and 9 Indian languages, covering Indo-Aryan (Hindi, Bengali, Marathi, Punjabi, Gujarati, and Oriya) and Dravidian (Tamil, Telugu, and Malayalam) languages, many of which are low-resource. MILPaC serves as a robust resource for evaluating Machine Translation (MT) systems in translating legal text between English and Indian languages or between Indian languages. Additionally, MILPaC-IP and MILPaC-CCI-FAQ datasets can be applied to other NLP tasks, such as cross-lingual question answering, further enhancing their utility. For more details regarding this dataset, please refer to our paper.
All three datasets are stored under the Data/MILPaC
folder and are provided in .xlsx
format. Each dataset file includes the following attributes:
Attribute | Description |
---|---|
dataset | Name of the dataset (e.g., "IP" for MILPaC-IP) |
id | Unique identifier for each text unit |
src_lang | Source language code (e.g., "EN" for English) |
src | Source text in the source language |
tgt_lang | Target language code (e.g., "HI" for Hindi) |
tgt | Translated text in the target language |
Each .xlsx
file corresponds to one of the datasets (MILPaC-IP, MILPaC-CCI-FAQ, MILPaC-Acts) and follows the same schema as described above.
This repository is organized as follows:
MILPaC/
├── README.md # Repository README file
├── LICENSE # Repository License file
└── Data/
└── MILPaC/
├── MILPaC_IP_dataset.xlsx # Intellectual property dataset
├── MILPaC_CCI_FAQ_dataset.xlsx # The Competition Act FAQ dataset
└── MILPaC_Acts_dataset.xlsx # Legislative and legal acts dataset
Each dataset file can be loaded using Python libraries like pandas
for data manipulation or openpyxl
for working with Excel files directly.
The MILPaC dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit CC BY-NC-SA 4.0.
If you use this dataset, please cite the following paper:
@article{mahapatra2024milpacnovelbenchmarkevaluating,
title = {MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages},
author = {Sayan Mahapatra and Debtanu Datta and Shubham Soni and Adrijit Goswami and Saptarshi Ghosh},
year = {2024},
journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.},
publisher = {Association for Computing Machinery},
}
For any inquiries, feedback, or collaboration opportunities, please contact to {debtanudatta04 [at] gmail [dot] com}. Collaborations are welcome, and feedback on the dataset is appreciated to further refine and enhance its utility for research in the Indian Legal domain.