|
--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: title |
|
dtype: string |
|
- name: description |
|
dtype: string |
|
- name: tags |
|
sequence: string |
|
- name: username |
|
dtype: string |
|
- name: freesound_id |
|
dtype: uint64 |
|
- name: license |
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dtype: |
|
class_label: |
|
names: |
|
'0': CC0-1.0 |
|
'1': CC-BY-4.0 |
|
'2': CC-BY-3.0 |
|
'3': CC-BY-NC-3.0 |
|
'4': CC-BY-NC-4.0 |
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'5': CC-Sampling+ |
|
- name: attribution_required |
|
dtype: |
|
class_label: |
|
names: |
|
'0': 'No' |
|
'1': 'Yes' |
|
- name: commercial_use |
|
dtype: |
|
class_label: |
|
names: |
|
'0': 'No' |
|
'1': 'Yes' |
|
splits: |
|
- name: train |
|
num_bytes: 675888345929.433 |
|
num_examples: 455019 |
|
- name: test |
|
num_bytes: 61089398662.586 |
|
num_examples: 50599 |
|
download_size: 678850663953 |
|
dataset_size: 736977744592.019 |
|
license: cc |
|
task_categories: |
|
- audio-to-audio |
|
- audio-classification |
|
tags: |
|
- freesound |
|
- freesound.org |
|
- laion |
|
- laion-audio |
|
pretty_name: FreeSound.org LAION-640k Dataset |
|
--- |
|
|
|
# About this Repository |
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|
|
This repository is a re-upload of [the FreeSound.org dataset](https://huggingface.co/datasets/Meranti/CLAP_freesound) as curated by LAION for [the larger LAION-Audio-630k dataset](https://github.com/LAION-AI/audio-dataset/blob/main/laion-audio-630k/), with the following changes: |
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1. Limited columns to only the audio and basic metadata. |
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2. Incorporated necessary information for licensing and attribution. |
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3. Removed ambiguously licensed samples, amounting to around 1,000 total samples. |
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|
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## What about download links? |
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|
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Links were ommitted for the sake of size, as they can be constructed from the data already present. To reconstruct a link, use the following format: |
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|
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`https://freesound.org/people/{username}/sound/{id}` |
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|
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# About this Dataset |
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|
|
> LAION-Audio-630K is a large-scale audio-text dataset consisting of 633,526 pairs with the total duration of 4,325.39 hours. It contains audios of human activities, natural sounds and audio effects, consisting of 8 data sources (see the data source table below) from publicly available websites. We collect these datasets by downloading audios and relevant text descriptions. Based on our current knowledge, LAION-Audio-630K is the largest audio-text dataset publicly available and a magnitude larger than previous audio-text datasets (by 2022-11-05). |
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> |
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> [LAION-AI, github.com](https://github.com/LAION-AI/audio-dataset/blob/main/laion-audio-630k/) |
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|
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## Acknowledgment |
|
|
|
The whole collection process as well as all usage of the LAION-Audio-630K are conducted by Germany non-profit pure research organization LAION. All contributors and collectors of the dataset are considered as open source contributors affiliated to LAION. These community contributors (Discord ids) include but not limited to: @marianna13#7139, @Chr0my#0173, @PiEquals4#1909, @Yuchen Hui#8574, @Antoniooooo#4758, @IYWO#9072, krishna#1648, @dicknascarsixtynine#3885, and @turian#1607. We would like to appreciate all of them for their efforts on the LAION-Audio-630k dataset. |
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|
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## License |
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|
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- LAION dataset metadata is released under [The MIT License.](https://mit-license.org/) |
|
- Audio is released under one of six licenses: |
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|
|
| License | URL | |
|
| ------- | --- | |
|
| CC0-1.0 | https://creativecommons.org/publicdomain/zero/1.0/ | |
|
| CC-BY-NC 4.0 | https://creativecommons.org/licenses/by-nc/4.0/ | |
|
| CC-BY-NC 3.0 | https://creativecommons.org/licenses/by-nc/3.0/ | |
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| CC-BY 4.0 | https://creativecommons.org/licenses/by/4.0/ | |
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| CC-BY 3.0 | https://creativecommons.org/licenses/by/3.0/ | |
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| CC-Sampling+ | https://creativecommons.org/licenses/sampling+/1.0/ | |
|
|
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**Please read the entirety of these licenses before deciding if you can use the audio for your project.** Two important caveats of each license, whether the piece requires attribution and whether the piece can be used in commercial works, are included in the dataset itself to help inform these decisions. |
