metadata
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- config_name: vie_Latn
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num_examples: 29882
download_size: 8868879812
dataset_size: 10817295611
configs:
- config_name: arb_Arab
data_files:
- split: train
path: arb_Arab/train-*
- split: validation
path: arb_Arab/validation-*
- split: test
path: arb_Arab/test-*
- config_name: ces_Latn
data_files:
- split: train
path: ces_Latn/train-*
- split: validation
path: ces_Latn/validation-*
- split: test
path: ces_Latn/test-*
- config_name: cmn_Hani
data_files:
- split: train
path: cmn_Hani/train-*
- split: validation
path: cmn_Hani/validation-*
- split: test
path: cmn_Hani/test-*
- config_name: dan_Latn
data_files:
- split: train
path: dan_Latn/train-*
- split: validation
path: dan_Latn/validation-*
- split: test
path: dan_Latn/test-*
- config_name: deu_Latn
data_files:
- split: train
path: deu_Latn/train-*
- split: validation
path: deu_Latn/validation-*
- split: test
path: deu_Latn/test-*
- config_name: ell_Grek
data_files:
- split: train
path: ell_Grek/train-*
- split: validation
path: ell_Grek/validation-*
- split: test
path: ell_Grek/test-*
- config_name: eng_Latn
data_files:
- split: train
path: eng_Latn/train-*
- split: validation
path: eng_Latn/validation-*
- split: test
path: eng_Latn/test-*
- config_name: fas_Arab
data_files:
- split: train
path: fas_Arab/train-*
- split: validation
path: fas_Arab/validation-*
- split: test
path: fas_Arab/test-*
- config_name: fra_Latn
data_files:
- split: train
path: fra_Latn/train-*
- split: validation
path: fra_Latn/validation-*
- split: test
path: fra_Latn/test-*
- config_name: hun_Latn
data_files:
- split: train
path: hun_Latn/train-*
- split: validation
path: hun_Latn/validation-*
- split: test
path: hun_Latn/test-*
- config_name: ind_Latn
data_files:
- split: train
path: ind_Latn/train-*
- split: validation
path: ind_Latn/validation-*
- split: test
path: ind_Latn/test-*
- config_name: ita_Latn
data_files:
- split: train
path: ita_Latn/train-*
- split: validation
path: ita_Latn/validation-*
- split: test
path: ita_Latn/test-*
- config_name: jpn_Jpan
data_files:
- split: train
path: jpn_Jpan/train-*
- split: validation
path: jpn_Jpan/validation-*
- split: test
path: jpn_Jpan/test-*
- config_name: nld_Latn
data_files:
- split: train
path: nld_Latn/train-*
- split: validation
path: nld_Latn/validation-*
- split: test
path: nld_Latn/test-*
- config_name: pol_Latn
data_files:
- split: train
path: pol_Latn/train-*
- split: validation
path: pol_Latn/validation-*
- split: test
path: pol_Latn/test-*
- config_name: por_Latn
data_files:
- split: train
path: por_Latn/train-*
- split: validation
path: por_Latn/validation-*
- split: test
path: por_Latn/test-*
- config_name: rus_Cyrl
data_files:
- split: train
path: rus_Cyrl/train-*
- split: validation
path: rus_Cyrl/validation-*
- split: test
path: rus_Cyrl/test-*
- config_name: spa_Latn
data_files:
- split: train
path: spa_Latn/train-*
- split: validation
path: spa_Latn/validation-*
- split: test
path: spa_Latn/test-*
- config_name: swe_Latn
data_files:
- split: train
path: swe_Latn/train-*
- split: validation
path: swe_Latn/validation-*
- split: test
path: swe_Latn/test-*
- config_name: tur_Latn
data_files:
- split: train
path: tur_Latn/train-*
- split: validation
path: tur_Latn/validation-*
- split: test
path: tur_Latn/test-*
- config_name: vie_Latn
data_files:
- split: train
path: vie_Latn/train-*
- split: validation
path: vie_Latn/validation-*
- split: test
path: vie_Latn/test-*
FineWeb2-IR
Multilingual IR training set built by generating search-style queries from FineWeb-Edu (English) and FineWeb2-HQ (20 additional languages) using the model hotchpotch/query-crafter-multilingual. Each of the 21 languages below has roughly 3M (query, text) pairs plus validation (2k) and test (30k) splits. Use it for multilingual IR training, reranking, and evaluation.
| Language | Subset ID | Train examples |
|---|---|---|
| English | eng_Latn | 2,637,179 |
| Russian | rus_Cyrl | 2,779,122 |
| Chinese | cmn_Hani | 2,868,817 |
| German | deu_Latn | 2,816,638 |
| Spanish | spa_Latn | 2,770,292 |
| Japanese | jpn_Jpan | 2,887,206 |
| French | fra_Latn | 2,804,741 |
| Italian | ita_Latn | 2,747,784 |
| Portuguese | por_Latn | 2,763,318 |
| Polish | pol_Latn | 2,819,094 |
| Dutch | nld_Latn | 2,805,281 |
| Indonesian | ind_Latn | 2,742,114 |
| Turkish | tur_Latn | 2,802,936 |
| Czech | ces_Latn | 2,547,927 |
| Arabic | arb_Arab | 2,811,912 |
| Persian | fas_Arab | 2,105,428 |
| Hungarian | hun_Latn | 2,164,147 |
| Swedish | swe_Latn | 2,526,425 |
| Greek | ell_Grek | 2,225,423 |
| Danish | dan_Latn | 2,321,875 |
| Vietnamese | vie_Latn | 2,210,383 |
Dataset construction
- Source corpora
- English: HuggingFaceFW/fineweb-edu.
- Non-English: HuggingFaceFW/fineweb-2 / FineWeb2-HQ.
- Cleaning & filtering: remove rows with missing text, cap text length, keep passages whose token count (Qwen3-1.7B tokenizer) falls in a per-language range.
- Query generation:
- Prompt format:
system: language=<lang>\ntype=<instruction>,user: <passage>. - Model:
hotchpotch/query-crafter-multilingualvia vLLM (T=0, top-p=0.95, max_new_tokens=128). - Instruction types (7):
keywords,query,title,faq,summary,synonym_keywords,alt_query. - Rotation weights: 5× for the first five types, 1× for
synonym_keywordsandalt_query(so these two are rarer by design).
- Prompt format:
- Post-filtering & split: drop empty/"NONE" queries and queries ≥50 tokens (Greek cap 70); stratified split by
type: validation 2,000, test 30,000, train = remainder. Columns kept:query,text,type,query_token_count,text_token_count,id,original_row_id,date,dump,file_path,score. - Deduplication (no-dup release): within each split, remove any row whose
queryortextduplicates a previously seenqueryortext(afterstrip()), ensuring all queries and documents are unique within the split.
Hard negatives (train/test)
- For each language subset, all texts are embedded with BGE-M3 and indexed for ANN search.
- Each query embedding retrieves the top 200 nearest texts excluding the paired positive; their IDs go to
hard_negativesand cosine-similarity scores tohard_negatives_score. - The
scorecolumn is the original FineWeb quality score, not a query–text similarity score.
License
This dataset follows the licenses and usage terms of its original sources: HuggingFaceFW/fineweb-edu and HuggingFaceFW/fineweb-2 / FineWeb2-HQ. These corpora are based on Common Crawl. Use and redistribution should follow the upstream dataset cards, Common Crawl terms, and any downstream requirements imposed by those corpora. The generated query fields are provided as part of this derived retrieval dataset and should be used together with the source-corpus terms.