metadata
dataset_info:
features:
- name: audio_id
dtype: string
- name: language
dtype:
class_label:
names:
'0': en
'1': de
'2': fr
'3': es
'4': pl
'5': it
'6': ro
'7': hu
'8': cs
'9': nl
'10': fi
'11': hr
'12': sk
'13': sl
'14': et
'15': lt
'16': en_accented
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: entities
sequence:
class_label:
names:
'0': B-cell_line
'1': B-character_name
'2': B-language
'3': B-disease
'4': B-event
'5': B-organization
'6': B-character
'7': B-origin
'8': B-other
'9': B-dish
'10': B-relationship
'11': B-artifact
'12': B-work_of_art
'13': B-facility
'14': B-product
'15': B-amenity
'16': B-rating
'17': B-actor
'18': B-date
'19': B-ratings_average
'20': B-quantity
'21': B-dna
'22': B-quote
'23': B-title
'24': B-song
'25': B-genre
'26': B-cuisine
'27': B-soundtrack
'28': B-ordinal_number
'29': B-protein
'30': B-collection
'31': B-money
'32': B-person
'33': B-project
'34': B-group
'35': B-review
'36': B-percent
'37': B-law
'38': B-director
'39': B-award
'40': B-chemical
'41': B-geopolitical_area
'42': B-rna
'43': B-restaurant
'44': B-location
'45': B-opinion
'46': B-cell_type
'47': B-trailer
'48': B-cardinal_number
'49': B-plot
'50': B-corporation
'51': B-time
'52': I-cell_line
'53': I-character_name
'54': I-language
'55': I-disease
'56': I-event
'57': I-organization
'58': I-character
'59': I-origin
'60': I-other
'61': I-dish
'62': I-relationship
'63': I-artifact
'64': I-work_of_art
'65': I-facility
'66': I-product
'67': I-amenity
'68': I-rating
'69': I-actor
'70': I-date
'71': I-ratings_average
'72': I-quantity
'73': I-dna
'74': I-quote
'75': I-title
'76': I-song
'77': I-genre
'78': I-cuisine
'79': I-soundtrack
'80': I-ordinal_number
'81': I-protein
'82': I-collection
'83': I-money
'84': I-person
'85': I-project
'86': I-group
'87': I-review
'88': I-percent
'89': I-law
'90': I-director
'91': I-award
'92': I-chemical
'93': I-geopolitical_area
'94': I-rna
'95': I-restaurant
'96': I-location
'97': I-opinion
'98': I-cell_type
'99': I-trailer
'100': I-cardinal_number
'101': I-plot
'102': I-corporation
'103': I-time
'104': O
splits:
- name: de
num_bytes: 1103674014.714
num_examples: 1966
- name: fr
num_bytes: 1053785539.44
num_examples: 1656
- name: nl
num_bytes: 600220358.88
num_examples: 1120
- name: es
num_bytes: 1151943335.024
num_examples: 1512
download_size: 3330795263
dataset_size: 3909623248.0580006