|
--- |
|
dataset_info: |
|
- config_name: curated |
|
features: |
|
- name: file |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
- name: sound |
|
sequence: string |
|
- name: label |
|
sequence: |
|
class_label: |
|
names: |
|
'0': Accelerating_and_revving_and_vroom |
|
'1': Accordion |
|
'2': Acoustic_guitar |
|
'3': Applause |
|
'4': Bark |
|
'5': Bass_drum |
|
'6': Bass_guitar |
|
'7': Bathtub_(filling_or_washing) |
|
'8': Bicycle_bell |
|
'9': Burping_and_eructation |
|
'10': Bus |
|
'11': Buzz |
|
'12': Car_passing_by |
|
'13': Cheering |
|
'14': Chewing_and_mastication |
|
'15': Child_speech_and_kid_speaking |
|
'16': Chink_and_clink |
|
'17': Chirp_and_tweet |
|
'18': Church_bell |
|
'19': Clapping |
|
'20': Computer_keyboard |
|
'21': Crackle |
|
'22': Cricket |
|
'23': Crowd |
|
'24': Cupboard_open_or_close |
|
'25': Cutlery_and_silverware |
|
'26': Dishes_and_pots_and_pans |
|
'27': Drawer_open_or_close |
|
'28': Drip |
|
'29': Electric_guitar |
|
'30': Fart |
|
'31': Female_singing |
|
'32': Female_speech_and_woman_speaking |
|
'33': Fill_(with_liquid) |
|
'34': Finger_snapping |
|
'35': Frying_(food) |
|
'36': Gasp |
|
'37': Glockenspiel |
|
'38': Gong |
|
'39': Gurgling |
|
'40': Harmonica |
|
'41': Hi-hat |
|
'42': Hiss |
|
'43': Keys_jangling |
|
'44': Knock |
|
'45': Male_singing |
|
'46': Male_speech_and_man_speaking |
|
'47': Marimba_and_xylophone |
|
'48': Mechanical_fan |
|
'49': Meow |
|
'50': Microwave_oven |
|
'51': Motorcycle |
|
'52': Printer |
|
'53': Purr |
|
'54': Race_car_and_auto_racing |
|
'55': Raindrop |
|
'56': Run |
|
'57': Scissors |
|
'58': Screaming |
|
'59': Shatter |
|
'60': Sigh |
|
'61': Sink_(filling_or_washing) |
|
'62': Skateboard |
|
'63': Slam |
|
'64': Sneeze |
|
'65': Squeak |
|
'66': Stream |
|
'67': Strum |
|
'68': Tap |
|
'69': Tick-tock |
|
'70': Toilet_flush |
|
'71': Traffic_noise_and_roadway_noise |
|
'72': Trickle_and_dribble |
|
'73': Walk_and_footsteps |
|
'74': Water_tap_and_faucet |
|
'75': Waves_and_surf |
|
'76': Whispering |
|
'77': Writing |
|
'78': Yell |
|
'79': Zipper_(clothing) |
|
splits: |
|
- name: train |
|
num_bytes: 3368589578.44 |
|
num_examples: 4970 |
|
- name: test |
|
num_bytes: 4182017326.408 |
|
num_examples: 4481 |
|
download_size: 6845764813 |
|
dataset_size: 7550606904.848 |
|
- config_name: noisy |
|
features: |
|
- name: file |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
- name: sound |
|
sequence: string |
|
- name: label |
|
sequence: |
|
class_label: |
|
names: |
|
'0': Accelerating_and_revving_and_vroom |
|
'1': Accordion |
|
'2': Acoustic_guitar |
|
'3': Applause |
|
'4': Bark |
|
'5': Bass_drum |
|
'6': Bass_guitar |
|
'7': Bathtub_(filling_or_washing) |
|
'8': Bicycle_bell |
|
'9': Burping_and_eructation |
|
'10': Bus |
|
'11': Buzz |
|
'12': Car_passing_by |
|
'13': Cheering |
|
'14': Chewing_and_mastication |
|
'15': Child_speech_and_kid_speaking |
|
'16': Chink_and_clink |
|
'17': Chirp_and_tweet |
|
'18': Church_bell |
|
'19': Clapping |
|
'20': Computer_keyboard |
|
'21': Crackle |
|
'22': Cricket |
|
'23': Crowd |
|
'24': Cupboard_open_or_close |
|
'25': Cutlery_and_silverware |
|
'26': Dishes_and_pots_and_pans |
|
'27': Drawer_open_or_close |
|
'28': Drip |
|
'29': Electric_guitar |
|
'30': Fart |
|
'31': Female_singing |
|
'32': Female_speech_and_woman_speaking |
|
'33': Fill_(with_liquid) |
|
'34': Finger_snapping |
|
'35': Frying_(food) |
|
'36': Gasp |
|
'37': Glockenspiel |
|
'38': Gong |
|
'39': Gurgling |
|
'40': Harmonica |
|
'41': Hi-hat |
|
'42': Hiss |
|
'43': Keys_jangling |
|
'44': Knock |
|
'45': Male_singing |
|
'46': Male_speech_and_man_speaking |
|
'47': Marimba_and_xylophone |
|
'48': Mechanical_fan |
|
'49': Meow |
|
'50': Microwave_oven |
|
'51': Motorcycle |
|
'52': Printer |
|
'53': Purr |
|
'54': Race_car_and_auto_racing |
|
'55': Raindrop |
|
'56': Run |
|
'57': Scissors |
|
'58': Screaming |
|
'59': Shatter |
|
'60': Sigh |
|
'61': Sink_(filling_or_washing) |
|
'62': Skateboard |
|
'63': Slam |
|
'64': Sneeze |
|
'65': Squeak |
|
'66': Stream |
|
'67': Strum |
|
'68': Tap |
|
'69': Tick-tock |
|
'70': Toilet_flush |
|
'71': Traffic_noise_and_roadway_noise |
|
'72': Trickle_and_dribble |
|
'73': Walk_and_footsteps |
|
'74': Water_tap_and_faucet |
|
'75': Waves_and_surf |
|
'76': Whispering |
|
'77': Writing |
|
'78': Yell |
|
'79': Zipper_(clothing) |
|
splits: |
|
- name: train |
|
num_bytes: 25639324897.28 |
|
num_examples: 19815 |
|
- name: test |
|
num_bytes: 4182017326.408 |
|
num_examples: 4481 |
|
download_size: 28944050138 |
|
dataset_size: 29821342223.688 |
|
configs: |
|
- config_name: curated |
|
data_files: |
|
- split: train |
|
path: curated/train-* |
|
- split: test |
|
path: curated/test-* |
|
- config_name: noisy |
|
data_files: |
|
- split: train |
|
path: noisy/train-* |
|
- split: test |
|
path: noisy/test-* |
|
task_categories: |
|
- audio-classification |
|
tags: |
|
- audio |
|
- multilabel |
|
license: |
|
- cc-by-nc-4.0 |
|
- cc-by-sa-4.0 |
|
- cc-by-4.0 |
|
--- |
|
|
|
# FSDKaggle2019 |
|
|
|
FSDKaggle2019<sup>[1]</sup> is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. |
|
FSDKaggle2019 has been used for the DCASE Challenge 2019 Task 2, which was run as a Kaggle competition titled Freesound Audio Tagging 2019. |
|
All audio clips are provided as uncompressed PCM 16 bit, 44.1 kHz, mono audio files. |
|
This version of database could be found and downloaded from [here](https://zenodo.org/records/3612637). |
|
|
|
## Data Split Statistics |
|
|
|
| | Curated | Noisy | Test | |
|
| :---: | :---: | :---: | :---: | |
|
| Number of clips/class | 75 | 300 | 50 ~ 100 | |
|
| Total number of clips | 4,970 | 19,815 | 4,481 | |
|
| Average number of labels/clip | 1.2 | 1.2 | 1.4 | |
|
| Total durations | 10.5 hours | 80 hours | 12.9 hours | |
|
| Label quality | Correct but potentially imcomplete | noisy labels | correct and complete labels | |
|
| Sources | FSD | YFCC | FSD | |
|
|
|
## Citations |
|
|
|
[1] Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra. "Audio tagging with noisy labels and minimal supervision". Proceedings of the DCASE 2019 Workshop, NYC, US (2019) |
|
|
|
[2] Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, and Xavier Serra, "Freesound Datasets: A Platform for the Creation of Open Audio Datasets", In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China, 2017 |
