confit/esc50-parquet

---
dataset_info:
- config_name: fold1
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: sound
dtype: string
- name: label
dtype:
class_label:
names:
'0': airplane
'1': breathing
'2': brushing_teeth
'3': can_opening
'4': car_horn
'5': cat
'6': chainsaw
'7': chirping_birds
'8': church_bells
'9': clapping
'10': clock_alarm
'11': clock_tick
'12': coughing
'13': cow
'14': crackling_fire
'15': crickets
'16': crow
'17': crying_baby
'18': dog
'19': door_wood_creaks
'20': door_wood_knock
'21': drinking_sipping
'22': engine
'23': fireworks
'24': footsteps
'25': frog
'26': glass_breaking
'27': hand_saw
'28': helicopter
'29': hen
'30': insects
'31': keyboard_typing
'32': laughing
'33': mouse_click
'34': pig
'35': pouring_water
'36': rain
'37': rooster
'38': sea_waves
'39': sheep
'40': siren
'41': sneezing
'42': snoring
'43': thunderstorm
'44': toilet_flush
'45': train
'46': vacuum_cleaner
'47': washing_machine
'48': water_drops
'49': wind
splits:
- name: train
num_bytes: 705710450.2
num_examples: 1600
- name: test
num_bytes: 176427616
num_examples: 400
download_size: 773383933
dataset_size: 882138066.2
- config_name: fold2
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: sound
dtype: string
- name: label
dtype:
class_label:
names:
'0': airplane
'1': breathing
'2': brushing_teeth
'3': can_opening
'4': car_horn
'5': cat
'6': chainsaw
'7': chirping_birds
'8': church_bells
'9': clapping
'10': clock_alarm
'11': clock_tick
'12': coughing
'13': cow
'14': crackling_fire
'15': crickets
'16': crow
'17': crying_baby
'18': dog
'19': door_wood_creaks
'20': door_wood_knock
'21': drinking_sipping
'22': engine
'23': fireworks
'24': footsteps
'25': frog
'26': glass_breaking
'27': hand_saw
'28': helicopter
'29': hen
'30': insects
'31': keyboard_typing
'32': laughing
'33': mouse_click
'34': pig
'35': pouring_water
'36': rain
'37': rooster
'38': sea_waves
'39': sheep
'40': siren
'41': sneezing
'42': snoring
'43': thunderstorm
'44': toilet_flush
'45': train
'46': vacuum_cleaner
'47': washing_machine
'48': water_drops
'49': wind
splits:
- name: train
num_bytes: 705710467.8
num_examples: 1600
- name: test
num_bytes: 176427616
num_examples: 400
download_size: 773374873
dataset_size: 882138083.8
- config_name: fold3
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: sound
dtype: string
- name: label
dtype:
class_label:
names:
'0': airplane
'1': breathing
'2': brushing_teeth
'3': can_opening
'4': car_horn
'5': cat
'6': chainsaw
'7': chirping_birds
'8': church_bells
'9': clapping
'10': clock_alarm
'11': clock_tick
'12': coughing
'13': cow
'14': crackling_fire
'15': crickets
'16': crow
'17': crying_baby
'18': dog
'19': door_wood_creaks
'20': door_wood_knock
'21': drinking_sipping
'22': engine
'23': fireworks
'24': footsteps
'25': frog
'26': glass_breaking
'27': hand_saw
'28': helicopter
'29': hen
'30': insects
'31': keyboard_typing
'32': laughing
'33': mouse_click
'34': pig
'35': pouring_water
'36': rain
'37': rooster
'38': sea_waves
'39': sheep
'40': siren
'41': sneezing
'42': snoring
'43': thunderstorm
'44': toilet_flush
'45': train
'46': vacuum_cleaner
'47': washing_machine
'48': water_drops
'49': wind
splits:
- name: train
num_bytes: 705710462
num_examples: 1600
- name: test
num_bytes: 176427616
num_examples: 400
download_size: 773552360
dataset_size: 882138078
- config_name: fold4
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: sound
dtype: string
- name: label
dtype:
class_label:
names:
'0': airplane
'1': breathing
'2': brushing_teeth
'3': can_opening
'4': car_horn
'5': cat
'6': chainsaw
'7': chirping_birds
'8': church_bells
'9': clapping
'10': clock_alarm
'11': clock_tick
'12': coughing
'13': cow
'14': crackling_fire
'15': crickets
'16': crow
'17': crying_baby
'18': dog
'19': door_wood_creaks
'20': door_wood_knock
'21': drinking_sipping
'22': engine
'23': fireworks
'24': footsteps
'25': frog
'26': glass_breaking
'27': hand_saw
'28': helicopter
'29': hen
'30': insects
'31': keyboard_typing
'32': laughing
'33': mouse_click
'34': pig
'35': pouring_water
'36': rain
'37': rooster
'38': sea_waves
'39': sheep
'40': siren
'41': sneezing
'42': snoring
'43': thunderstorm
'44': toilet_flush
'45': train
'46': vacuum_cleaner
'47': washing_machine
'48': water_drops
'49': wind
splits:
- name: train
num_bytes: 705710450
num_examples: 1600
- name: test
num_bytes: 176427616
num_examples: 400
download_size: 773258954
dataset_size: 882138066
- config_name: fold5
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: sound
dtype: string
- name: label
dtype:
class_label:
names:
'0': airplane
'1': breathing
'2': brushing_teeth
'3': can_opening
'4': car_horn
'5': cat
'6': chainsaw
'7': chirping_birds
'8': church_bells
'9': clapping
'10': clock_alarm
'11': clock_tick
'12': coughing
'13': cow
'14': crackling_fire
'15': crickets
'16': crow
'17': crying_baby
'18': dog
'19': door_wood_creaks
'20': door_wood_knock
'21': drinking_sipping
'22': engine
'23': fireworks
'24': footsteps
'25': frog
'26': glass_breaking
'27': hand_saw
'28': helicopter
'29': hen
'30': insects
'31': keyboard_typing
'32': laughing
'33': mouse_click
'34': pig
'35': pouring_water
'36': rain
'37': rooster
'38': sea_waves
'39': sheep
'40': siren
'41': sneezing
'42': snoring
'43': thunderstorm
'44': toilet_flush
'45': train
'46': vacuum_cleaner
'47': washing_machine
'48': water_drops
'49': wind
splits:
- name: train
num_bytes: 705710464.4
num_examples: 1600
- name: test
num_bytes: 176427616
num_examples: 400
download_size: 773395386
dataset_size: 882138080.4
configs:
- config_name: fold1
data_files:
- split: train
path: fold1/train-*
- split: test
path: fold1/test-*
- config_name: fold2
data_files:
- split: train
path: fold2/train-*
- split: test
path: fold2/test-*
- config_name: fold3
data_files:
- split: train
path: fold3/train-*
- split: test
path: fold3/test-*
- config_name: fold4
data_files:
- split: train
path: fold4/train-*
- split: test
path: fold4/test-*
- config_name: fold5
data_files:
- split: train
path: fold5/train-*
- split: test
path: fold5/test-*
task_categories:
- audio-classification
tags:
- audio
- multiclass
---