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@@ -1085,9 +1085,28 @@ Each of the **20 largest** languages from the WebFAQ corpus has been **thoroughl
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  The **WebFAQ Retrieval Dataset** covers **20 high-resource languages** from the original WebFAQ corpus, each comprising tens of thousands to hundreds of thousands of QA pairs after our rigorous filtering steps:
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- | Language | # QA pairs |
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- |-------------|----------------|
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- | TBD | |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Structure
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  ├── corpus.jsonl # all unique documents (answers)
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  ├── queries.jsonl # all queries for train/test
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  ├── train.jsonl # relevance annotations for train
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- ├── test.jsonl # relevance annotations for test
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- └── ...
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  ```
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  ## Examples
 
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  The **WebFAQ Retrieval Dataset** covers **20 high-resource languages** from the original WebFAQ corpus, each comprising tens of thousands to hundreds of thousands of QA pairs after our rigorous filtering steps:
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+ | Language | # QA pairs |
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+ |----------|-----------:|
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+ | ara | 143k |
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+ | dan | 138k |
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+ | deu | 891k |
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+ | eng | 5.28M |
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+ | fas | 227k |
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+ | fra | 570k |
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+ | hin | 96.6k |
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+ | ind | 96.6k |
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+ | ita | 209k |
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+ | jpn | 280k |
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+ | kor | 79.1k |
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+ | nld | 349k |
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+ | pol | 179k |
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+ | por | 186k |
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+ | rus | 346k |
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+ | spa | 558k |
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+ | swe | 144k |
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+ | tur | 110k |
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+ | vie | 105k |
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+ | zho | 125k |
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  ## Structure
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  ├── corpus.jsonl # all unique documents (answers)
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  ├── queries.jsonl # all queries for train/test
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  ├── train.jsonl # relevance annotations for train
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+ └── test.jsonl # relevance annotations for test
 
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  ```
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  ## Examples