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@@ -2760,11 +2760,11 @@ This yields richer contextual metadata and improved cross-lingual coverage .
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  ### 3️⃣ Large-Scale Bilingual Alignments (👉 [michaeldinzinger/webfaq-v2-bitexts](https://huggingface.co/datasets/michaeldinzinger/webfaq-v2-bitexts))
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- * **13.8M aligned QA pairs**
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- * **3,118 language combinations**
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- * 1,282 language pairs contain ≥4,000 aligned samples
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- This is a nearly 10× increase over v1.
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  ### 4️⃣ Hard Negatives Dataset (👉 [IrvinTopi/WebFAQHardNegatives](https://huggingface.co/datasets/IrvinTopi/WebFAQHardNegatives))
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  Results:
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- * 13.8M aligned QA pairs
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  * Strong growth in non-English language pairs
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  * Includes underrepresented combinations (e.g., Marathi–Telugu)
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  ### 3️⃣ Large-Scale Bilingual Alignments (👉 [michaeldinzinger/webfaq-v2-bitexts](https://huggingface.co/datasets/michaeldinzinger/webfaq-v2-bitexts))
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+ * **14.3 million aligned QA pairs** (vs. 1.5M in v1)
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+ * **3,970 language combinations** (≥100 aligned samples each)
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+ * 3,118 language pairs contain ≥1,000 and 1,282 language pairs contain ≥4,000 aligned QA pairs
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+ This represents nearly a **10× increase** in alignment size.
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  ### 4️⃣ Hard Negatives Dataset (👉 [IrvinTopi/WebFAQHardNegatives](https://huggingface.co/datasets/IrvinTopi/WebFAQHardNegatives))
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  Results:
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+ * 14.3M aligned QA pairs
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  * Strong growth in non-English language pairs
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  * Includes underrepresented combinations (e.g., Marathi–Telugu)
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