File size: 5,151 Bytes
1e041ea f9b3cde 1e041ea 7acd867 f9b3cde 1e041ea d149e39 1e041ea 7acd867 d149e39 7acd867 1e041ea d149e39 1e041ea d149e39 1e041ea d149e39 1e041ea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 |
---
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: unified_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
- name: raw_entities
sequence:
class_label:
names:
'0': O
'1': B-cardinal number
'2': B-date
'3': I-date
'4': B-person
'5': I-person
'6': B-group
'7': B-geopolitical area
'8': I-geopolitical area
'9': B-law
'10': I-law
'11': B-organization
'12': I-organization
'13': B-percent
'14': I-percent
'15': B-ordinal number
'16': B-money
'17': I-money
'18': B-work of art
'19': I-work of art
'20': B-facility
'21': B-time
'22': I-cardinal number
'23': B-location
'24': B-quantity
'25': I-quantity
'26': I-group
'27': I-location
'28': B-product
'29': I-time
'30': B-event
'31': I-event
'32': I-facility
'33': B-language
'34': I-product
'35': I-ordinal number
'36': I-language
splits:
- name: de
num_bytes: 1131409377.498
num_examples: 1966
- name: es
num_bytes: 1141307287.576
num_examples: 1512
- name: fr
num_bytes: 1058324939.032
num_examples: 1656
- name: nl
num_bytes: 602932929.76
num_examples: 1120
download_size: 1404936201
dataset_size: 3933974533.866
configs:
- config_name: default
data_files:
- split: de
path: data/de-*
- split: es
path: data/es-*
- split: fr
path: data/fr-*
- split: nl
path: data/nl-*
---
# Dataset Card for "spoken-ner"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |