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Table · dataset · 2026

SonicCaps

Listed in Hugging Face Datasets

SonicCaps SonicCaps is a large-scale audio captioning dataset comprising ~15M captions paired with ~700k audio clips, generated with a multi-modal LLM (Qwen3-Omni) conditioned jointly on audio and text.

Description

Unlike prior datasets that provide a single caption per clip, SonicCaps contains ~24 captions per audio generated through structured prompt engineering and few-shot prompting, explicitly reflecting the one-to-many nature of auditory perception.

These captions span multiple… See the full description on the dataset page: huggingface.co/datasets/Zineb/SonicCaps.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text
Inferred from text
Audio 75% · Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsZineb/SonicCaps14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:audioenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0