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+ ---
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+ dataset_info:
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+ features:
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+ - name: audio_id
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+ dtype: string
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+ - name: language
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+ dtype:
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+ class_label:
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+ names:
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+ '0': en
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+ '1': de
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+ '2': fr
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+ '3': es
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+ '4': pl
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+ '5': it
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+ '6': ro
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+ '7': hu
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+ '8': cs
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+ '9': nl
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+ '10': fi
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+ '11': hr
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+ '12': sk
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+ '13': sl
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+ '14': et
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+ '15': lt
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+ '16': en_accented
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+ - name: audio
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+ dtype:
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+ audio:
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+ sampling_rate: 16000
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+ - name: sentence
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+ dtype: string
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+ - name: entities
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+ sequence:
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+ class_label:
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+ names:
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+ '0': B-cell_line
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+ '1': B-character_name
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+ '2': B-language
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+ '3': B-disease
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+ '4': B-event
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+ '5': B-organization
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+ '6': B-character
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+ '7': B-origin
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+ '8': B-other
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+ '9': B-dish
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+ '10': B-relationship
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+ '11': B-artifact
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+ '12': B-work_of_art
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+ '13': B-facility
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+ '14': B-product
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+ '15': B-amenity
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+ '16': B-rating
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+ '17': B-actor
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+ '18': B-date
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+ '19': B-ratings_average
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+ '20': B-quantity
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+ '21': B-dna
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+ '22': B-quote
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+ '23': B-title
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+ '24': B-song
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+ '25': B-genre
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+ '26': B-cuisine
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+ '27': B-soundtrack
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+ '28': B-ordinal_number
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+ '29': B-protein
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+ '30': B-collection
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+ '31': B-money
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+ '32': B-person
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+ '33': B-project
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+ '34': B-group
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+ '35': B-review
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+ '36': B-percent
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+ '37': B-law
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+ '38': B-director
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+ '39': B-award
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+ '40': B-chemical
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+ '41': B-geopolitical_area
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+ '42': B-rna
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+ '43': B-restaurant
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+ '44': B-location
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+ '45': B-opinion
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+ '46': B-cell_type
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+ '47': B-trailer
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+ '48': B-cardinal_number
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+ '49': B-plot
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+ '50': B-corporation
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+ '51': B-time
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+ '52': I-cell_line
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+ '53': I-character_name
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+ '54': I-language
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+ '55': I-disease
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+ '56': I-event
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+ '57': I-organization
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+ '58': I-character
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+ '59': I-origin
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+ '60': I-other
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+ '61': I-dish
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+ '62': I-relationship
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+ '63': I-artifact
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+ '64': I-work_of_art
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+ '65': I-facility
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+ '66': I-product
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+ '67': I-amenity
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+ '68': I-rating
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+ '69': I-actor
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+ '70': I-date
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+ '71': I-ratings_average
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+ '72': I-quantity
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+ '73': I-dna
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+ '74': I-quote
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+ '75': I-title
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+ '76': I-song
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+ '77': I-genre
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+ '78': I-cuisine
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+ '79': I-soundtrack
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+ '80': I-ordinal_number
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+ '81': I-protein
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+ '82': I-collection
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+ '83': I-money
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+ '84': I-person
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+ '85': I-project
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+ '86': I-group
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+ '87': I-review
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+ '88': I-percent
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+ '89': I-law
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+ '90': I-director
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+ '91': I-award
129
+ '92': I-chemical
130
+ '93': I-geopolitical_area
131
+ '94': I-rna
132
+ '95': I-restaurant
133
+ '96': I-location
134
+ '97': I-opinion
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+ '98': I-cell_type
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+ '99': I-trailer
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+ '100': I-cardinal_number
138
+ '101': I-plot
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+ '102': I-corporation
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+ '103': I-time
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+ '104': O
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+ splits:
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+ - name: de
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+ num_bytes: 1103674014.714
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+ num_examples: 1966
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+ - name: fr
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+ num_bytes: 1053785539.44
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+ num_examples: 1656
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+ - name: nl
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+ num_bytes: 600220358.88
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+ num_examples: 1120
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+ - name: es
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+ num_bytes: 1151943335.024
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+ num_examples: 1512
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+ download_size: 3330795263
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+ dataset_size: 3909623248.0580006
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+ ---
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+ # Dataset Card for "spoken-ner"
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+
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+ [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)