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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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  | 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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  ---
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  # Usage
 
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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 Fields
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+
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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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  ### 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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  | Telugu (`tel`) | 110,077 | 55,038 | 165,115 |
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  | Urdu (`urd`) | 220,425 | 110,212 | 330,637 |
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  ---
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  # Usage