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--- |
|
|
dataset_info: |
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features: |
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|
- name: filename |
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|
dtype: string |
|
|
- name: 'true' |
|
|
sequence: float32 |
|
|
length: 20 |
|
|
- name: mask |
|
|
sequence: int32 |
|
|
length: 20 |
|
|
- name: mp3_bytes |
|
|
dtype: binary |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1790991884 |
|
|
num_examples: 14915 |
|
|
- name: test |
|
|
num_bytes: 611455142 |
|
|
num_examples: 5085 |
|
|
download_size: 0 |
|
|
dataset_size: 2402447026 |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/shard_train_* |
|
|
- split: test |
|
|
path: data/shard_test_* |
|
|
--- |
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|
# CPJKU/openmic |
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|
The dataset is made available by Spotify AB under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. The full terms of this license are included alongside this dataset. |
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|
|
|
|
This dataset is preprocessed and compressed to 32khz mp3 files. The bytes of the mp3 files are embedded. |
|
|
The mp3 bytes can be decoded quickly using for [example](https://github.com/kkoutini/PaSST/blob/4519e4605989b8c2e62dccb5b928af9bf7bf8602/audioset/dataset.py#L55) or [minimp3](https://github.com/f0k/minimp3py). |
|
|
|
|
|
Take a look at the original dataset for more information. |
|
|
The original dataset contains the following: |
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|
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|
|
10 second snippets of audio, in a directory format like 'audio/{0:3}/{0}.ogg'.format(sample_key) |
|
|
VGGish features as JSON objects, in a directory format like 'vggish/{0:3}/{0}.json'.format(sample_key) |
|
|
MD5 checksums for each OGG and JSON file |
|
|
Anonymized individual responses, in 'openmic-2018-individual-responses.csv' |
|
|
Aggregated labels, in 'openmic-2018-aggregated-labels.csv' |
|
|
Track metadata, with licenses for each audio recording, in 'openmic-2018-metadata.csv' |
|
|
A Python-friendly NPZ file of features and labels, 'openmic-2018.npz' |
|
|
Sample partitions for train and test, in 'partitions/*.txt' |
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|
|
## Homepage |
|
|
https://zenodo.org/records/1432913 |
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|
|
|
|
## Citation |
|
|
``` |
|
|
Humphrey, Eric J., Durand, Simon, and McFee, Brian. "OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition." in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018. |
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|
|
|
``` |
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## License |
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|
CC BY 4.0 |
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|
