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--- |
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language: |
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- bn |
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- en |
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- gu |
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- hi |
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- kn |
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- ml |
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- mr |
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- or |
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- pa |
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- ta |
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- te |
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- ur |
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license: cc-by-4.0 |
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size_categories: |
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- 1M<n<10M |
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pretty_name: Pralekha |
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dataset_info: |
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features: |
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- name: n_id |
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dtype: string |
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- name: doc_id |
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dtype: string |
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- name: lang |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: aligned |
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num_bytes: 10274361211 |
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num_examples: 1566404 |
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- name: unaligned |
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num_bytes: 4466506637 |
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num_examples: 783197 |
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download_size: 5812005886 |
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dataset_size: 14740867848 |
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configs: |
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- config_name: default |
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data_files: |
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- split: aligned |
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path: data/aligned-* |
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- split: unaligned |
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path: data/unaligned-* |
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tags: |
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- data-mining |
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- document-alignment |
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- parallel-corpus |
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--- |
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# Pralekha |
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<div style="display: flex; gap: 10px;"> |
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<a href="https://arxiv.org/abs/2411.19096"> |
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<img src="https://img.shields.io/badge/arXiv-2411.19096-B31B1B" alt="arXiv"> |
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</a> |
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<a href="https://huggingface.co/datasets/ai4bharat/Pralekha"> |
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<img src="https://img.shields.io/badge/huggingface-Pralekha-yellow" alt="HuggingFace"> |
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</a> |
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<a href="https://github.com/AI4Bharat/Pralekha"> |
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<img src="https://img.shields.io/badge/github-Pralekha-blue" alt="GitHub"> |
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</a> |
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<a href="https://creativecommons.org/licenses/by/4.0/"> |
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<img src="https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey" alt="License: CC BY 4.0"> |
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</a> |
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</div> |
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**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. |
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--- |
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## Dataset Description |
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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. |
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The dataset has a **1:2 ratio of aligned to unaligned document pairs**, making it ideal for benchmarking cross-lingual document alignment techniques. |
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### Data Sources |
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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. |
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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. |
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### Dataset Size Statistics |
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| Split | Number of Documents | Size (bytes) | |
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|---------------|---------------------|--------------------| |
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| **Aligned** | 1,566,404 | 10,274,361,211 | |
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| **Unaligned** | 783,197 | 4,466,506,637 | |
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| **Total** | 2,349,601 | 14,740,867,848 | |
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### Language-wise Statistics |
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| Language (`ISO-3`) | Aligned Documents | Unaligned Documents | Total Documents | |
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|---------------------|-------------------|---------------------|-----------------| |
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| Bengali (`ben`) | 95,813 | 47,906 | 143,719 | |
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| English (`eng`) | 298,111 | 149,055 | 447,166 | |
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| Gujarati (`guj`) | 67,847 | 33,923 | 101,770 | |
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| Hindi (`hin`) | 204,809 | 102,404 | 307,213 | |
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| Kannada (`kan`) | 61,998 | 30,999 | 92,997 | |
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| Malayalam (`mal`) | 67,760 | 33,880 | 101,640 | |
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| Marathi (`mar`) | 135,301 | 67,650 | 202,951 | |
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| Odia (`ori`) | 46,167 | 23,083 | 69,250 | |
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| Punjabi (`pan`) | 108,459 | 54,229 | 162,688 | |
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| Tamil (`tam`) | 149,637 | 74,818 | 224,455 | |
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| Telugu (`tel`) | 110,077 | 55,038 | 165,115 | |
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| Urdu (`urd`) | 220,425 | 110,212 | 330,637 | |
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### Data Fields |
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Each data sample includes: |
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- **`n_id`:** Unique identifier for aligned document pairs. |
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- **`doc_id`:** Unique identifier for individual documents. |
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- **`lang`:** Language of the document (ISO-3 code). |
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- **`text`:** The textual content of the document. |
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--- |
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## License |
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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/). |
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--- |
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## Contact |
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For any questions or feedback, please contact: |
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- Raj Dabre ([[email protected]](mailto:[email protected])) |
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- Sanjay Suryanarayanan ([[email protected]](mailto:[email protected])) |
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- Haiyue Song ([[email protected]](mailto:[email protected])) |
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- Mohammed Safi Ur Rahman Khan ([[email protected]](mailto:[email protected])) |
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Please get in touch with us for any copyright concerns. |
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