--- license: other task_categories: - audio-classification pretty_name: PFANN Audio Dataset configs: - config_name: default data_files: - split: test_20211202_query path: "data/test_20211202_query/audio/*.tar" - split: test_20211202_seed path: "data/test_20211202_seed/audio/*.tar" - split: test_20211224_query path: "data/test_20211224_query/audio/*.tar" - split: test_20211224_seed path: "data/test_20211224_seed/audio/*.tar" - split: test_20220316_query path: "data/test_20220316_query/audio/*.tar" - split: test_20220316_seed path: "data/test_20220316_seed/audio/*.tar" tags: - audio - music - audio-fingerprinting - pfann - webdataset --- # Yougen/pfann_testset Pfann-style audio dataset, packed as **WebDataset tar shards**. Inside each tar, every sample is a pair sharing a unique key: ``` . # raw audio bytes (ext == wav / mp3 / flac / ... as in source) .json # {"audio_id":..., "subset":..., "rel_path":..., "duration":..., "sample_rate":..., "channels":...} ``` `metadata.csv` columns: `key, shard, audio_id, subset, rel_path, duration, sample_rate, channels` ## Loading ```python from datasets import load_dataset ds = load_dataset("Yougen/pfann_testset") print(ds) print(ds["test_20211202_query"][0]) # sample keys: 'wav'/'mp3'/... (decoded audio), 'json' (metadata), '__key__', '__url__' ``` For streaming (no full download needed): ```python ds = load_dataset("Yougen/pfann_testset", streaming=True) for example in ds["test_20211202_query"]: print(example["__key__"], example["json"]["audio_id"]) break ``` HuggingFace's `webdataset` builder will automatically pair `.` with `.json` inside every tar and decode the audio.