MSNER / README.md
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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: 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