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Datasets:
HughXuechen
/
fsd50k-cc0-curated-v1

Tasks:
Audio Classification
Modalities:
Audio
Tabular
Text
Formats:
csv
Size:
1K - 10K
Tags:
audio
audio-generation
fsd50k
rnn
music
ambient
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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  1. README.md +60 -0
  2. fsd50k_cc0_dev_curated_v1_manifest.csv +0 -0
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README.md CHANGED
@@ -1,3 +1,63 @@
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  ---
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  license: cc0-1.0
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc0-1.0
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+ task_categories:
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+ - audio-classification
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+ tags:
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+ - audio
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+ - audio-generation
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+ - fsd50k
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+ - rnn
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+ - music
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+ - ambient
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # FSD50K CC0 Curated v1
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+
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+ A 1,408-clip CC0-only subset of [FSD50K](https://zenodo.org/record/4060432) (Fonseca et al., 2022), curated for an RNN/LSTM audio generation teaching assignment.
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+
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+ ## Contents
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+
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+ - 1,408 WAV files from the FSD50K dev split (`<file_id>.wav`)
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+ - `fsd50k_cc0_dev_curated_v1_manifest.csv` — per-clip metadata
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+ - All files are CC0 / public domain — no attribution required
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+ - 18 primary labels covering music instruments and nature ambient sounds
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+ - Total size: ~1.5 GB, total duration: ~4.73 hours
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+ - Original sample rates and durations preserved (no resampling or truncation)
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+
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+ ## Manifest columns
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+
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+ | Column | Description |
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+ |--------|-------------|
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+ | `file_id` | FSD50K numeric ID — matches WAV filename |
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+ | `wav_path` | Original local path (ignore — use `file_id` to locate files) |
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+ | `split` | Train / val / test assignment (stratified by `primary_label`, seed=42) |
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+ | `license_raw` | Original Freesound license URL |
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+ | `license_normalized` | Always `CC0` in this subset |
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+ | `labels` | Comma-separated FSD50K labels |
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+ | `primary_label` | Single label used for stratification (first keep-label match) |
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+ | `tags` | Freesound user tags |
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+ | `size_bytes` | WAV file size in bytes |
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+ | `duration_sec` | Clip duration in seconds |
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+
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+ ## Curation
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+
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+ Clips were selected from the 14,959 CC0 dev files using:
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+ 1. Exclude-label filter (speech, vehicles, household noise, etc.)
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+ 2. Keep-label requirement (music + nature ambient categories)
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+ 3. Duration threshold ≥ 4.17 s (with 6 anchor clip exceptions)
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+ 4. Round-robin category-balanced fill to a 1.5 GB ceiling
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+
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+ Seed: 42. Full details in the source repository's `doc/DATASET_CURATION_REPORT.md`.
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+
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+ ## Usage
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(repo_id="hughxuechen/fsd50k-cc0-curated-v1", repo_type="dataset", local_dir="data/fsd50k_preprocessed")
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+ ```
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+
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+ ## Citation
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+
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+ Fonseca, E., Favory, X., Pons, J., Font, F., & Serra, X. (2022). FSD50K: An Open Dataset of Human-Labeled Sound Events. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30, 829–852.
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