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README.md
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path: data/unaligned-*
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tags:
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- data-mining
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- parallel-corpus
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- document-alignment
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---
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# Pralekha
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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, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, Urdu, and English. 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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### Language-wise Statistics
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| Language
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| Bengali (`
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| English (`
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| Gujarati (`
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| Hindi (`
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| Kannada (`
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| Malayalam (`
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| Marathi (`
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| Odia (`
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| Punjabi (`
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| Tamil (`
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| Telugu (`
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| Urdu (`
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### Data Fields
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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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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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</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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### 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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- 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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