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---
language:
- bn
- en
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
- ur
license: cc-by-4.0
size_categories:
- 1M<n<10M
pretty_name: Pralekha
dataset_info:
features:
- name: n_id
dtype: string
- name: doc_id
dtype: string
- name: lang
dtype: string
- name: text
dtype: string
splits:
- name: aligned
num_bytes: 10274361211
num_examples: 1566404
- name: unaligned
num_bytes: 4466506637
num_examples: 783197
download_size: 5812005886
dataset_size: 14740867848
configs:
- config_name: default
data_files:
- split: aligned
path: data/aligned-*
- split: unaligned
path: data/unaligned-*
tags:
- data-mining
- document-alignment
- parallel-corpus
---
# Pralekha
<div style="display: flex; gap: 10px;">
<a href="https://arxiv.org/abs/2411.19096">
<img src="https://img.shields.io/badge/arXiv-2411.19096-B31B1B" alt="arXiv">
</a>
<a href="https://huggingface.co/datasets/ai4bharat/Pralekha">
<img src="https://img.shields.io/badge/huggingface-Pralekha-yellow" alt="HuggingFace">
</a>
<a href="https://github.com/AI4Bharat/Pralekha">
<img src="https://img.shields.io/badge/github-Pralekha-blue" alt="GitHub">
</a>
<a href="https://creativecommons.org/licenses/by/4.0/">
<img src="https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey" alt="License: CC BY 4.0">
</a>
</div>
**PRALEKHA** is a large-scale benchmark for evaluating document-level alignment techniques. It includes 2M+ documents, covering 11 Indic languages and English, with a balanced mix of aligned and unaligned pairs.
---
## Dataset Description
PRALEKHA covers 12 languages—Bengali (`ben`), Gujarati (`guj`), Hindi (`hin`), Kannada (`kan`), Malayalam (`mal`), Marathi (`mar`), Odia (`ori`), Punjabi (`pan`), Tamil (`tam`), Telugu (`tel`), Urdu (`urd`), and English (`eng`). It includes a mixture of high- and medium-resource languages, covering 11 different scripts. The dataset spans two broad domains: **news bulletins** and **podcast scripts**, offering both written and spoken forms of data. All the data is human-written or human-verified, ensuring high quality.
The dataset has a **1:2 ratio of aligned to unaligned document pairs**, making it ideal for benchmarking cross-lingual document alignment techniques.
### Data Sources
1. **News Bulletins:** Data was custom-scraped from the [Indian Press Information Bureau (PIB)](https://pib.gov.in) website. Documents were aligned by matching bulletin IDs, which interlink bulletins across languages.
2. **Podcast Scripts:** Data was sourced from [Mann Ki Baat](https://www.pmindia.gov.in/en/mann-ki-baat), a radio program hosted by the Indian Prime Minister. This program, originally spoken in Hindi, was manually transcribed and translated into various Indian languages.
### Dataset Size Statistics
| Split | Number of Documents | Size (bytes) |
|---------------|---------------------|--------------------|
| **Aligned** | 1,566,404 | 10,274,361,211 |
| **Unaligned** | 783,197 | 4,466,506,637 |
| **Total** | 2,349,601 | 14,740,867,848 |
### Language-wise Statistics
| Language (`ISO-3`) | Aligned Documents | Unaligned Documents | Total Documents |
|---------------------|-------------------|---------------------|-----------------|
| Bengali (`ben`) | 95,813 | 47,906 | 143,719 |
| English (`eng`) | 298,111 | 149,055 | 447,166 |
| Gujarati (`guj`) | 67,847 | 33,923 | 101,770 |
| Hindi (`hin`) | 204,809 | 102,404 | 307,213 |
| Kannada (`kan`) | 61,998 | 30,999 | 92,997 |
| Malayalam (`mal`) | 67,760 | 33,880 | 101,640 |
| Marathi (`mar`) | 135,301 | 67,650 | 202,951 |
| Odia (`ori`) | 46,167 | 23,083 | 69,250 |
| Punjabi (`pan`) | 108,459 | 54,229 | 162,688 |
| Tamil (`tam`) | 149,637 | 74,818 | 224,455 |
| Telugu (`tel`) | 110,077 | 55,038 | 165,115 |
| Urdu (`urd`) | 220,425 | 110,212 | 330,637 |
### Data Fields
Each data sample includes:
- **`n_id`:** Unique identifier for aligned document pairs.
- **`doc_id`:** Unique identifier for individual documents.
- **`lang`:** Language of the document (ISO-3 code).
- **`text`:** The textual content of the document.
---
## License
This dataset is released under the **CC BY 4.0** license. For more information, see [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/).
---
## Contact
For any questions or feedback, please contact:
- Raj Dabre ([[email protected]](mailto:[email protected]))
- Sanjay Suryanarayanan ([[email protected]](mailto:[email protected]))
- Haiyue Song ([[email protected]](mailto:[email protected]))
- Mohammed Safi Ur Rahman Khan ([[email protected]](mailto:[email protected]))
Please get in touch with us for any copyright concerns.
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