The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find a dataset script at /src/services/worker/arch-raven/music-fingerprint-dataset/music-fingerprint-dataset.py or any data file in the same directory. Couldn't find 'arch-raven/music-fingerprint-dataset' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in arch-raven/music-fingerprint-dataset.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/arch-raven/music-fingerprint-dataset/music-fingerprint-dataset.py or any data file in the same directory. Couldn't find 'arch-raven/music-fingerprint-dataset' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in arch-raven/music-fingerprint-dataset.Need help to make the dataset viewer work? Open a discussion for direct support.
Neural Audio Fingerprint Dataset
(c) 2021 by Sungkyun Chang https://github.com/mimbres/neural-audio-fp
This dataset includes all music sources, background noise and impulse-reponses (IR) samples that have been used in the work ["Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning"] (https://arxiv.org/abs/2010.11910).
Format:
16-bit PCM Mono WAV, Sampling rate 8000 Hz
Description:
/
fingerprint_dataset_icassp2021/
├── aug
│ ├── bg <=== Pub/cafe etc. background noise mix
│ ├── ir <=== IR data for microphone and room reverb simulatio
│ └── speech <=== English conversation, NOT USED IN THE PAPER RESULT
├── extras
│ └── fma_info <=== Meta data for music sources.
└── music
├── test-dummy-db-100k-full <== 100K songs of full-lengths
├── test-query-db-500-30s <== 500 songs (30s) and 2K synthesized queries
├── train-10k-30s <== 10K songs (30s) for training
└── val-query-db-500-30s <== 500 songs (30s) for validation/mini-search
Data source:
• Bacgkound noise from Audioset was retrieved using key words ['subway',
'metro', 'underground', 'not music']
• Cochlear.ai pub-noise was recorded at the Strabucks branches in Seoul by
Jeongsoo Park.
• Random noise was generated by Donmoon Lee.
• Room/space IR data was collected from Aachen IR and OpenAIR 1.4 dataset.
• Portions of MIC IRs were from Vintage MIC (http://recordinghacks.com/), and
pre-processed with room/space IR data.
• Portions of MIC IRs were recorded by Donmoon Lee, Jeonsu Park and Hyungui Lim
using mobile devices in the anechoic chamber at Seoul National University.
• All music sources were taken from the Free Music Archive (FMA) data set,
and converted from stereo 44Khz to mono 8Khz.
• train-10k-30s contains all 8K songs from FMA_small. The remaining 2K songs
were from FMA_medium.
• val- and test- data were isolated from train-, and taken from FMA_medium.
• test-query-db-500-30s/query consists of the pre-synthesized 2,000 queries
of 10s each (SNR 0~10dB) and their corresponding 500 songs of 30s each.
• Additionally, query_fixed_SNR directory contains synthesized queries with
fixed SNR of 0dB and -3dB.
• dummy-db-100k was taken from FMA_full, and duplicates with other sets were
removed.
License:
This dataset is distributed under the CC BY-SA 2.0 license separately from the github source code, and licenses for composites from other datasets are attached to each sub-directory.
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