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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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# 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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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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### 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
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