size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: 
      class_label:
        names:
          '0': 1AC
          '1': 1ACM
          '2': 1CID3
          '3': 1CID8
          '4': 1CIM3
          '5': 1CIM5
          '6': 1PC
          '7': 1PCWM
          '8': 2AC
          '9': 2ACME
          '10': 2P1PC
          '11': 2PC
          '12': 3AC
          '13': 3AC2
          '14': 3PC
          '15': 3PC1
          '16': 3PCPRN
          '17': 3TPRN
          '18': 3TPRN1
          '19': 3WMNE
          '20': 4AC
          '21': 4PC
          '22': 4T
          '23': AB
          '24': AD1
          '25': AD2
          '26': AD3
          '27': AM
          '28': AP7
          '29': BID
          '30': BM
          '31': DRY
          '32': E0.5H
          '33': E1-2H
          '34': E10M
          '35': E12H
          '36': E15M
          '37': E18H
          '38': E1H
          '39': E1HS
          '40': E1M
          '41': E2-3H
          '42': E24H
          '43': E2H
          '44': E2HS
          '45': E36H
          '46': E3H
          '47': E4-6H
          '48': E48H
          '49': E4H
          '50': E4HS
          '51': E5M
          '52': E6-8H
          '53': E6H
          '54': E72H
          '55': E8H
          '56': E96H
          '57': ED1
          '58': ED2
          '59': EW1
          '60': EW2
          '61': EW3
          '62': EW4
          '63': FID
          '64': FRI
          '65': FSSU
          '66': HAD
          '67': HS
          '68': HS1
          '69': HS2
          '70': HS3
          '71': IN10M
          '72': IN12H
          '73': IN15M
          '74': IN1H
          '75': IN2H
          '76': IN30M
          '77': IN3H
          '78': IN4H
          '79': IN5H
          '80': IN6-8H
          '81': IN6H
          '82': Itching
          '83': M-F
          '84': M-FESSU
          '85': M-S
          '86': M-SESU
          '87': M-TH
          '88': ME
          '89': MF
          '90': MIN
          '91': MOFR
          '92': MON
          '93': MTH
          '94': MTW
          '95': MWF
          '96': MWFS
          '97': MWFSU
          '98': NVPRN
          '99': OD
          '100': OR
          '101': PRC
          '102': PRC1
          '103': PRES
          '104': PT
          '105': Q0.5H
          '106': Q1-2H
          '107': Q10M
          '108': Q12H
          '109': Q15M
          '110': Q18H
          '111': Q1D
          '112': Q1H
          '113': Q1HS
          '114': Q1M
          '115': Q1W
          '116': Q2-3H
          '117': Q24H
          '118': Q2H
          '119': Q2HS
          '120': Q2W
          '121': Q36H
          '122': Q3H
          '123': Q3W
          '124': Q4-6H
          '125': Q48H
          '126': Q4H
          '127': Q4HS
          '128': Q4W
          '129': Q5M
          '130': Q6-8H
          '131': Q6H
          '132': Q72H
          '133': Q8H
          '134': Q96H
          '135': QID
          '136': QM1D
          '137': QM3D
          '138': QM5D
          '139': QW2D
          '140': QW3D
          '141': QW4D
          '142': S
          '143': SAT
          '144': SID
          '145': SS1
          '146': SSS
          '147': SSU
          '148': STA
          '149': SUN
          '150': T
          '151': T3
          '152': TD
          '153': TFR
          '154': THU
          '155': TID
          '156': TT
          '157': TTH
          '158': TTHS
          '159': TTHSSU
          '160': TUE
          '161': TW
          '162': VES
          '163': WC
          '164': WED
          '165': WEFR
          '166': WHI
          '167': WIR
          '168': ZW
          '169': boos1
          '170': boos2
          '171': boos4
          '172': cough
          '173': wedsat
  splits:
  - name: train
    num_bytes: 9066
    num_examples: 174
  download_size: 5157
  dataset_size: 9066
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
