Task
Automatic Speech Recognition
F
google/fleurs
Automatic Speech Recognition · google· 97.6K
["cc-by-4.0"]
48 MB
FLEURS Fleurs is the speech version of the FLoRes machine translation benchmark. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https://huggingface.co/datasets/google/fleurs.
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Dataset details
Language
afr
License
["cc-by-4.0"]
Size
48 MB
Creator
google
Downloads
97.6K
Source
huggingface_datasets
Updated
2026-05-15
About google/fleurs
--- annotationscreators: - expert-generated - crowdsourced - machine-generated languagecreators: - crowdsourced - expert-generated language: - afr - amh - ara - asm - ast - azj - bel - ben - bos - cat - ceb - cmn - ces - cym - dan - deu - ell - eng - spa - est - fas - ful - fin - tgl - fra - gle - glg - guj - hau - heb - hin - hrv - hun - hye - ind - ibo - isl - ita - jpn - jav - kat - kam - kea - kaz - khm - kan - kor - ckb - kir - ltz - lug - lin - lao - lit - luo - lav - mri - mkd - mal - mon - mar - msa - mlt - mya - nob - npi - nld - nso - nya - oci - orm - ory - pan - pol - pus - por - ron - rus - bul - snd - slk - slv - sna - som - srp - swe - swh - tam - tel - tgk - tha - tur - ukr - umb - urd - uzb - vie - wol - xho - yor - yue - zul license: - cc-by-4.0 multilinguality: - multilingual sizecategories: - 10K<n<100K taskcategories: - automatic-speech-recognition taskids: [] prettyname: 'The Cross-lingual TRansfer Evaluation of Multilingual Encoders for Speech (XTREME-S) benchmark is a benchmark designed to evaluate speech representations across languages, tasks, domains and data regimes. It covers 102 languages from 10+ language families, 3 different domains and 4 task families: speech recognition, translation, classification and retrieval.' tags: - speech-recognition datasetinfo: - configname: afza features: - name: id dtype: int32 - name: numsamples dtype: int32 - name: path dtype: string - name: audio dtype: audio: samplingrate: 16000 - name: transcription dtype: string - name: rawtranscription dtype: str