datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nasle-mana-clean-chunked-30s-avasanj
Nasl-e-Mana Clean Persian Speech — corrected 30-second chunks
Corrected, provenance-preserving audio chunks collected from the Nasl-e-Mana magazine website, generated on 2026-08-30. This release supersedes the earlier unreliable proportional-mapping chunk export; that older release was not used here.
Splits
Split
Rows
Audio
Columns
labeled
4,981
41.41 hours
audio, label
to_transcribe
11,127
92.72 hours
audio
The labeled split contains the… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/nasle-mana-clean-chunked-30s-avasanj.SIWIS_French_Speech_Synthesis_Database
SIWIS French Speech Synthesis Database
This README provides a concise description of the dataset, including its structure, file naming conventions, and known labeling issues. Additionally, suggestions for potential improvements are outlined in the TODO section.
The dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting its use for any purpose.
For more details about the database design and recording process, please refer… See the full description on the dataset page: https://huggingface.co/datasets/Aviv-anthonnyolime/SIWIS_French_Speech_Synthesis_Database.dia-AvaAvd-test
AVA-AVD — test split (audio-visual speaker diarization in the wild)
Copie du split test d'AVA-AVD (Xu et al., ACM MM 2022), un corpus de
diarisation dans des conditions "in the wild" construit sur AVA Active Speaker.
Chaque clip (~5 min) est extrait des vidéos AVA à des offsets précis définis
par le repo officiel, puis l'audio est re-synchronisé : les timestamps des
RTTMs ont été recalculés en temps clip-local (soustrait min_start du
RTTM d'origine) pour être directement utilisables… See the full description on the dataset page: https://huggingface.co/datasets/ggfox00000/dia-AvaAvd-test.ASR-GERMAN-MIXED-TEST
Dataset Beschreibung
Dieser Datensatz und die Beschreibung wurde von flozi00/asr-german-mixed übernommen und nur der Test-Split hier hochgeladen, da Hugging Face native erst einmal alle Splits herunterlädt. Für eine Evaluation von Speech-to-Text Modellen ist ein Download von 136 GB allerdings etwas zeit- & speicherraubend, weshalb wir hier nur den Test-Split für Evaluationen anbieten möchten. Die Arbeit und die Anerkennung sollten deshalb weiter bei primeline & flozi00 für die… See the full description on the dataset page: https://huggingface.co/datasets/avemio/ASR-GERMAN-MIXED-TEST.