Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
10M - 100M
ArXiv:
Tags:
text-retrieval
Update README.md
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README.md
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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
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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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└── ...
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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
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