README.md

---
language:
- ara
- dan
- deu
- eng
- fas
- fra
- hin
- ind
- ita
- jpn
- kor
- nld
- pol
- por
- rus
- spa
- swe
- tur
- vie
- zho
multilinguality:
- multilingual
task_categories:
- text-retrieval
task_ids:
- document-retrieval
config_names:
- corpus
tags:
- text-retrieval
dataset_info:
  - config_name: ara-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 6293949
        num_examples: 132664
      - name: test
        num_bytes: 474367
        num_examples: 10000
  - config_name: ara-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 162827578
        num_examples: 142664
  - config_name: ara-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 32958434
        num_examples: 132664
      - name: test
        num_bytes: 2500510
        num_examples: 10000
  - config_name: dan-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 6050475
        num_examples: 127686
      - name: test
        num_bytes: 473919
        num_examples: 10000
  - config_name: dan-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 49171909
        num_examples: 137686
  - config_name: dan-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 9957312
        num_examples: 127686
      - name: test
        num_bytes: 775965
        num_examples: 10000
  - config_name: deu-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 42959068
        num_examples: 881201
      - name: test
        num_bytes: 487561
        num_examples: 10000
  - config_name: deu-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 377457585
        num_examples: 891201
  - config_name: deu-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
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        num_examples: 881201
      - name: test
        num_bytes: 819131
        num_examples: 10000
  - config_name: eng-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 266487011
        num_examples: 5268725
      - name: test
        num_bytes: 505744
        num_examples: 10000
  - config_name: eng-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 1772481467
        num_examples: 5278725
  - config_name: eng-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 393277327
        num_examples: 5268725
      - name: test
        num_bytes: 744279
        num_examples: 10000
  - config_name: fas-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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        num_examples: 216940
      - name: test
        num_bytes: 480118
        num_examples: 10000
  - config_name: fas-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
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  - config_name: fas-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
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        num_examples: 216940
      - name: test
        num_bytes: 2559588
        num_examples: 10000
  - config_name: fra-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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        num_examples: 559505
      - name: test
        num_bytes: 486112
        num_examples: 10000
  - config_name: fra-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
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        num_examples: 569505
  - config_name: fra-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
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        num_examples: 559505
      - name: test
        num_bytes: 912921
        num_examples: 10000
  - config_name: hin-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 4211562
        num_examples: 90031
      - name: test
        num_bytes: 467737
        num_examples: 10000
  - config_name: hin-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
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        num_examples: 100031
  - config_name: hin-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
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        num_examples: 90031
      - name: test
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        num_examples: 10000
  - config_name: ind-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 4762169
        num_examples: 101315
      - name: test
        num_bytes: 470046
        num_examples: 10000
  - config_name: ind-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 32240964
        num_examples: 111315
  - config_name: ind-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 8003845
        num_examples: 101315
      - name: test
        num_bytes: 787656
        num_examples: 10000
  - config_name: ita-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 11928821
        num_examples: 247803
      - name: test
        num_bytes: 481306
        num_examples: 10000
  - config_name: ita-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 96693889
        num_examples: 257803
  - config_name: ita-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 21034519
        num_examples: 247803
      - name: test
        num_bytes: 852818
        num_examples: 10000
  - config_name: jpn-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 14443765
        num_examples: 299157
      - name: test
        num_bytes: 482708
        num_examples: 10000
  - config_name: jpn-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 254914767
        num_examples: 309157
  - config_name: jpn-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 50949827
        num_examples: 299157
      - name: test
        num_bytes: 1696476
        num_examples: 10000
  - config_name: kor-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
        num_bytes: 4307545
        num_examples: 92000
      - name: test
        num_bytes: 468235
        num_examples: 10000
  - config_name: kor-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: corpus
        num_bytes: 65463396
        num_examples: 102000
  - config_name: kor-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 13051430
        num_examples: 92000
      - name: test
        num_bytes: 1411285
        num_examples: 10000
  - config_name: nld-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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        num_examples: 360662
      - name: test
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        num_examples: 10000
  - config_name: nld-corpus
    features:
      - name: _id
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      - name: title
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      - name: text
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    splits:
      - name: corpus
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  - config_name: nld-queries
    features:
      - name: _id
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    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: pol-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: pol-corpus
    features:
      - name: _id
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      - name: title
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    splits:
      - name: corpus
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  - config_name: pol-queries
    features:
      - name: _id
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      - name: text
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    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: por-qrels
    features:
      - name: query-id
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      - name: corpus-id
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      - name: score
        dtype: float64
    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: por-corpus
    features:
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    splits:
      - name: corpus
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  - config_name: por-queries
    features:
      - name: _id
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    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: rus-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: rus-corpus
    features:
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    splits:
      - name: corpus
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  - config_name: rus-queries
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      - name: _id
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    splits:
      - name: train
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      - name: test
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  - config_name: spa-qrels
    features:
      - name: query-id
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      - name: score
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    splits:
      - name: train
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        num_examples: 10000
  - config_name: spa-corpus
    features:
      - name: _id
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      - name: title
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    splits:
      - name: corpus
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        num_examples: 604661
  - config_name: spa-queries
    features:
      - name: _id
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      - name: text
        dtype: string
    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: swe-qrels
    features:
      - name: query-id
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      - name: score
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    splits:
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      - name: test
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        num_examples: 10000
  - config_name: swe-corpus
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    splits:
      - name: corpus
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  - config_name: swe-queries
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    splits:
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      - name: test
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        num_examples: 10000
  - config_name: tur-qrels
    features:
      - name: query-id
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      - name: corpus-id
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      - name: score
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    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: tur-corpus
    features:
      - name: _id
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      - name: title
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      - name: text
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    splits:
      - name: corpus
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  - config_name: tur-queries
    features:
      - name: _id
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    splits:
      - name: train
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      - name: test
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        num_examples: 10000
  - config_name: vie-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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        num_examples: 113972
      - name: test
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        num_examples: 10000
  - config_name: vie-corpus
    features:
      - name: _id
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      - name: title
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      - name: text
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    splits:
      - name: corpus
        num_bytes: 76390471
        num_examples: 123972
  - config_name: vie-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 14776653
        num_examples: 113972
      - name: test
        num_bytes: 1299967
        num_examples: 10000
  - config_name: zho-qrels
    features:
      - name: query-id
        dtype: string
      - name: corpus-id
        dtype: string
      - name: score
        dtype: float64
    splits:
      - name: train
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        num_bytes: 473244
        num_examples: 10000
  - config_name: zho-corpus
    features:
      - name: _id
        dtype: string
      - name: title
        dtype: string
      - name: text
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    splits:
      - name: corpus
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  - config_name: zho-queries
    features:
      - name: _id
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 14554815
        num_examples: 122491
      - name: test
        num_bytes: 1183199
        num_examples: 10000
configs:
  - config_name: ara-qrels
    data_files:
      - split: train
        path: ara/qrels-train.jsonl
      - split: test
        path: ara/qrels-test.jsonl
  - config_name: ara-corpus
    data_files:
      - split: corpus
        path: ara/corpus.jsonl
  - config_name: ara-queries
    data_files:
      - split: train
        path: ara/queries-train.jsonl
      - split: test
        path: ara/queries-test.jsonl
  - config_name: dan-qrels
    data_files:
      - split: train
        path: dan/qrels-train.jsonl
      - split: test
        path: dan/qrels-test.jsonl
  - config_name: dan-corpus
    data_files:
      - split: corpus
        path: dan/corpus.jsonl
  - config_name: dan-queries
    data_files:
      - split: train
        path: dan/queries-train.jsonl
      - split: test
        path: dan/queries-test.jsonl
  - config_name: deu-qrels
    data_files:
      - split: train
        path: deu/qrels-train.jsonl
      - split: test
        path: deu/qrels-test.jsonl
  - config_name: deu-corpus
    data_files:
      - split: corpus
        path: deu/corpus.jsonl
  - config_name: deu-queries
    data_files:
      - split: train
        path: deu/queries-train.jsonl
      - split: test
        path: deu/queries-test.jsonl
  - config_name: eng-qrels
    data_files:
      - split: train
        path: eng/qrels-train.jsonl
      - split: test
        path: eng/qrels-test.jsonl
  - config_name: eng-corpus
    data_files:
      - split: corpus
        path: eng/corpus.jsonl
  - config_name: eng-queries
    data_files:
      - split: train
        path: eng/queries-train.jsonl
      - split: test
        path: eng/queries-test.jsonl
  - config_name: fas-qrels
    data_files:
      - split: train
        path: fas/qrels-train.jsonl
      - split: test
        path: fas/qrels-test.jsonl
  - config_name: fas-corpus
    data_files:
      - split: corpus
        path: fas/corpus.jsonl
  - config_name: fas-queries
    data_files:
      - split: train
        path: fas/queries-train.jsonl
      - split: test
        path: fas/queries-test.jsonl
  - config_name: fra-qrels
    data_files:
      - split: train
        path: fra/qrels-train.jsonl
      - split: test
        path: fra/qrels-test.jsonl
  - config_name: fra-corpus
    data_files:
      - split: corpus
        path: fra/corpus.jsonl
  - config_name: fra-queries
    data_files:
      - split: train
        path: fra/queries-train.jsonl
      - split: test
        path: fra/queries-test.jsonl
  - config_name: hin-qrels
    data_files:
      - split: train
        path: hin/qrels-train.jsonl
      - split: test
        path: hin/qrels-test.jsonl
  - config_name: hin-corpus
    data_files:
      - split: corpus
        path: hin/corpus.jsonl
  - config_name: hin-queries
    data_files:
      - split: train
        path: hin/queries-train.jsonl
      - split: test
        path: hin/queries-test.jsonl
  - config_name: ind-qrels
    data_files:
      - split: train
        path: ind/qrels-train.jsonl
      - split: test
        path: ind/qrels-test.jsonl
  - config_name: ind-corpus
    data_files:
      - split: corpus
        path: ind/corpus.jsonl
  - config_name: ind-queries
    data_files:
      - split: train
        path: ind/queries-train.jsonl
      - split: test
        path: ind/queries-test.jsonl
  - config_name: ita-qrels
    data_files:
      - split: train
        path: ita/qrels-train.jsonl
      - split: test
        path: ita/qrels-test.jsonl
  - config_name: ita-corpus
    data_files:
      - split: corpus
        path: ita/corpus.jsonl
  - config_name: ita-queries
    data_files:
      - split: train
        path: ita/queries-train.jsonl
      - split: test
        path: ita/queries-test.jsonl
  - config_name: jpn-qrels
    data_files:
      - split: train
        path: jpn/qrels-train.jsonl
      - split: test
        path: jpn/qrels-test.jsonl
  - config_name: jpn-corpus
    data_files:
      - split: corpus
        path: jpn/corpus.jsonl
  - config_name: jpn-queries
    data_files:
      - split: train
        path: jpn/queries-train.jsonl
      - split: test
        path: jpn/queries-test.jsonl
  - config_name: kor-qrels
    data_files:
      - split: train
        path: kor/qrels-train.jsonl
      - split: test
        path: kor/qrels-test.jsonl
  - config_name: kor-corpus
    data_files:
      - split: corpus
        path: kor/corpus.jsonl
  - config_name: kor-queries
    data_files:
      - split: train
        path: kor/queries-train.jsonl
      - split: test
        path: kor/queries-test.jsonl
  - config_name: nld-qrels
    data_files:
      - split: train
        path: nld/qrels-train.jsonl
      - split: test
        path: nld/qrels-test.jsonl
  - config_name: nld-corpus
    data_files:
      - split: corpus
        path: nld/corpus.jsonl
  - config_name: nld-queries
    data_files:
      - split: train
        path: nld/queries-train.jsonl
      - split: test
        path: nld/queries-test.jsonl
  - config_name: pol-qrels
    data_files:
      - split: train
        path: pol/qrels-train.jsonl
      - split: test
        path: pol/qrels-test.jsonl
  - config_name: pol-corpus
    data_files:
      - split: corpus
        path: pol/corpus.jsonl
  - config_name: pol-queries
    data_files:
      - split: train
        path: pol/queries-train.jsonl
      - split: test
        path: pol/queries-test.jsonl
  - config_name: por-qrels
    data_files:
      - split: train
        path: por/qrels-train.jsonl
      - split: test
        path: por/qrels-test.jsonl
  - config_name: por-corpus
    data_files:
      - split: corpus
        path: por/corpus.jsonl
  - config_name: por-queries
    data_files:
      - split: train
        path: por/queries-train.jsonl
      - split: test
        path: por/queries-test.jsonl
  - config_name: rus-qrels
    data_files:
      - split: train
        path: rus/qrels-train.jsonl
      - split: test
        path: rus/qrels-test.jsonl
  - config_name: rus-corpus
    data_files:
      - split: corpus
        path: rus/corpus.jsonl
  - config_name: rus-queries
    data_files:
      - split: train
        path: rus/queries-train.jsonl
      - split: test
        path: rus/queries-test.jsonl
  - config_name: spa-qrels
    data_files:
      - split: train
        path: spa/qrels-train.jsonl
      - split: test
        path: spa/qrels-test.jsonl
  - config_name: spa-corpus
    data_files:
      - split: corpus
        path: spa/corpus.jsonl
  - config_name: spa-queries
    data_files:
      - split: train
        path: spa/queries-train.jsonl
      - split: test
        path: spa/queries-test.jsonl
  - config_name: swe-qrels
    data_files:
      - split: train
        path: swe/qrels-train.jsonl
      - split: test
        path: swe/qrels-test.jsonl
  - config_name: swe-corpus
    data_files:
      - split: corpus
        path: swe/corpus.jsonl
  - config_name: swe-queries
    data_files:
      - split: train
        path: swe/queries-train.jsonl
      - split: test
        path: swe/queries-test.jsonl
  - config_name: tur-qrels
    data_files:
      - split: train
        path: tur/qrels-train.jsonl
      - split: test
        path: tur/qrels-test.jsonl
  - config_name: tur-corpus
    data_files:
      - split: corpus
        path: tur/corpus.jsonl
  - config_name: tur-queries
    data_files:
      - split: train
        path: tur/queries-train.jsonl
      - split: test
        path: tur/queries-test.jsonl
  - config_name: vie-qrels
    data_files:
      - split: train
        path: vie/qrels-train.jsonl
      - split: test
        path: vie/qrels-test.jsonl
  - config_name: vie-corpus
    data_files:
      - split: corpus
        path: vie/corpus.jsonl
  - config_name: vie-queries
    data_files:
      - split: train
        path: vie/queries-train.jsonl
      - split: test
        path: vie/queries-test.jsonl
  - config_name: zho-qrels
    data_files:
      - split: train
        path: zho/qrels-train.jsonl
      - split: test
        path: zho/qrels-test.jsonl
  - config_name: zho-corpus
    data_files:
      - split: corpus
        path: zho/corpus.jsonl
  - config_name: zho-queries
    data_files:
      - split: train
        path: zho/queries-train.jsonl
      - split: test
        path: zho/queries-test.jsonl
---
<h1 align="center">WebFAQ Retrieval Dataset</h1>
<h4 align="center">
   <p>
       <a href=#overview>Overview</a> |
       <a href=#details>Details</a>  |
       <a href=#structure>Structure</a>  |
       <a href=#examples>Examples</a> |
       <a href=#considerations>Considerations</a> |
       <a href=#license>License</a> |
       <a href=#citation>Citation</a> |
       <a href=#contact>Contact</a> |
       <a href=#acknowledgement>Acknowledgement</a>
   <p>
</h4>

## Overview

The **WebFAQ Retrieval Dataset** is a carefully **filtered and curated subset** of the broader [WebFAQ Q&A Dataset](https://huggingface.co/datasets/anonymous202501/webfaq).  
It is **purpose-built for Information Retrieval (IR)** tasks, such as **training and evaluating** dense or sparse retrieval models in **multiple languages**.

Each of the **20 largest** languages from the WebFAQ corpus has been **thoroughly cleaned** and **refined** to ensure an unblurred notion of relevance between a query (question) and its corresponding document (answer). In particular, we applied:

- **Deduplication** of near-identical questions,  
- **Semantic consistency checks** for question-answer alignment,  
- **Train/Test splits** for retrieval experiments.

## Details

### Languages

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:

| Language | # QA pairs |
|----------|-----------:|
| ara      | 143k       |
| dan      | 138k       |
| deu      | 891k       |
| eng      | 5.28M      |
| fas      | 227k       |
| fra      | 570k       |
| hin      | 96.6k      |
| ind      | 96.6k      |
| ita      | 209k       |
| jpn      | 280k       |
| kor      | 79.1k      |
| nld      | 349k       |
| pol      | 179k       |
| por      | 186k       |
| rus      | 346k       |
| spa      | 558k       |
| swe      | 144k       |
| tur      | 110k       |
| vie      | 105k       |
| zho      | 125k       |

## Structure

Unlike the raw Q&A dataset, **WebFAQ Retrieval** provides explicit **train/test splits** for each of the 20 languages. The general structure for each language is:

- **Corpus**: A set of unique documents (answers) with IDs and text fields.  
- **Queries**: A set of question strings, each tied to a document ID for relevance.  
- **Qrels**: Relevance labels, mapping each question to its relevant document (corresponding answer).

### Folder Layout (e.g., for eng)

```
eng/
  ├── corpus.jsonl        # all unique documents (answers)
  ├── queries.jsonl       # all queries for train/test
  ├── train.jsonl         # relevance annotations for train
  └── test.jsonl          # relevance annotations for test
```

## Examples

Below is a small snippet showing how to load English train/test sets with [🤗 Datasets](https://github.com/huggingface/datasets):

```python
import json
from datasets import load_dataset
from tqdm import tqdm

# Load train qrels
train_qrels = load_dataset(
    "anonymous202501/webfaq-retrieval",
    "eng-qrels",
    split="train"
)

# Inspect first qrel
print(json.dumps(train_qrels[0], indent=4))

# Load the corpus (answers)
data_corpus = load_dataset(
    "anonymous202501/webfaq-retrieval",
    "eng-corpus",
    split="corpus"
)
corpus = {
    d["_id"]: {"title": d["title"], "text": d["text"]} for d in tqdm(data_corpus)
}

# Inspect first document
print("Document:")
print(json.dumps(corpus[train_qrels[0]["corpus-id"]], indent=4))

# Load all queries
data_queries = load_dataset(
    "anonymous202501/webfaq-retrieval",
    "eng-queries",
    split="queries"
)
queries = {
    q["_id"]: q["text"] for q in tqdm(data_queries)
}

# Inspect first query
print("Query:")
print(json.dumps(queries[train_qrels[0]["query-id"]], indent=4))

# Keep only those queries with relevance annotations
query_ids = set([q["query-id"] for q in train_qrels])
queries = {
    qid: query for qid, query in queries.items() if qid in query_ids
}
print(f"Number of queries: {len(queries)}")
```

Below is a code snippet showing how to evaluate retrieval performance using the `mteb` library:

> **Note**: WebFAQ is not yet available as multilingual task in the `mteb` library. The code snippet below is a placeholder for when it becomes available.

```python
from mteb import MTEB
from mteb.tasks.Retrieval.multilingual.WebFAQRetrieval import WebFAQRetrieval

# ... Load model ...

# Load the WebFAQ task
task = WebFAQRetrieval()
eval_split = "test"

evaluation = MTEB(tasks=[task])
evaluation.run(
    model,
    eval_splits=[eval_split],
    output_folder="output",
    overwrite_results=True
)
```

## Considerations

Please note the following considerations when using the collected QAs:

- *[Q&A Dataset]* **Risk of Duplicate or Near-Duplicate Content**: The raw Q&A dataset is large and includes minor paraphrases.  
- *[Retrieval Dataset]* **Sparse Relevance**: As raw FAQ data, each question typically has one “best” (on-page) answer. Additional valid answers may exist on other websites but are not labeled as relevant.  
- **Language Detection Limitations**: Some QA pairs mix languages, or contain brand names, which can confuse automatic language classification.  
- **No Guarantee of Factual Accuracy**: Answers reflect the content of the source websites. They may include outdated, biased, or incorrect information.  
- **Copyright and Privacy**: Please ensure compliance with any applicable laws and the source website’s terms.

## License

The **Collection of WebFAQ Datasets** is shared under [**Creative Commons Attribution 4.0 (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0/) license.

> **Note**: The dataset is derived from public webpages in Common Crawl snapshots (2022–2024) and intended for **research purposes**. Each FAQ’s text is published by the original website under their terms. Downstream users should verify any usage constraints from the **original websites** as well as [Common Crawl’s Terms of Use](https://commoncrawl.org/terms-of-use/).

## Citation

If you use this dataset in your research, please consider citing the associated paper:

```bibtex
@misc{dinzinger2025webfaq,
    title={WebFAQ: A Multilingual Collection of Natural Q&amp;A Datasets for Dense Retrieval},
    author={Michael Dinzinger and Laura Caspari and Kanishka Ghosh Dastidar and Jelena Mitrović and Michael Granitzer},
    year={2025},
    eprint={2502.20936},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

## Contact

For inquiries and feedback, please feel free to contact us via E-Mail ([[email protected]](mailto:[email protected])) or start a discussion on HuggingFace or GitHub.

## Acknowledgement

We thank the Common Crawl and Web Data Commons teams for providing the underlying data, and all contributors who helped shape the WebFAQ project.

### Thank you

We hope the **Collection of WebFAQ Datasets** serves as a valuable resource for your research. Please consider citing it in any publications or projects that use it. If you encounter issues or want to contribute improvements, feel free to get in touch with us on HuggingFace or GitHub.

Happy researching!