confit/fsdkaggle2019-parquet
FSDKaggle2019 FSDKaggle2019[1] is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE Challenge 2019 Task 2, which was run as a Kaggle competition titled Freesound Audio Tagging 2019. All audio clips are provided as uncompressed PCM 16 bit, 44.1 kHz, mono audio files. This version of database could be found and downloaded from here. Data Split Statistics Curated Noisy… See the full description on the dataset page: https://huggingface.co/datasets/confit/fsdkaggle2019-parquet.
| Author / organization | confit |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 6.1K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 27 March 2024 |
| Last updated at source | 28 March 2024 |
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- 16 Oct 2026 Description: FSDKaggle2019 FSDKaggle2019[1] is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE Challenge 2019 Task 2, which was run as a Kaggle competition title → FSDKaggle2019 FSDKaggle2019[1] is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE Challenge 2019 Task 2, which was run as a Kaggle competition title
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