---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
          names:
            '0': 0.5AE
            '1': 0.5HS2
            '2': 0.5HS3
            '3': 0.5PE
            '4': 0.5PN
            '5': 0.5SSU
            '6': 0
            '7': 1.5SSU
            '8': 10
            '9': 10.3
            '10': 1022
            '11': 11
            '12': 11.3
            '13': 1123
            '14': 11AE
            '15': 11AN
            '16': 11PE
            '17': 11PN
            '18': 12
            '19': 12.3
            '20': 1224
            '21': 12T
            '22': 15min
            '23': 18.3
            '24': 19.3
            '25': 1AC
            '26': 1AC1
            '27': 1AE
            '28': 1AN
            '29': 1HR
            '30': 1HS
            '31': 1HS2
            '32': 1HS3
            '33': 1KP
            '34': 1PC
            '35': 1PE
            '36': 1PN
            '37': 1PNE
            '38': 1SSU
            '39': 1WM
            '40': 20.3
            '41': 21.3
            '42': 22.3
            '43': 23.3
            '44': 24
            '45': 24B
            '46': 24I
            '47': 24T
            '48': 2AC
            '49': 2AC1
            '50': 2AE
            '51': 2AEHS
            '52': 2AMHS
            '53': 2AMN
            '54': 2ANE
            '55': 2ANHS
            '56': 2HS
            '57': 2PC
            '58': 2PC.
            '59': 2PE
            '60': 2PEHS
            '61': 2PME
            '62': 2PMHS
            '63': 2PMN
            '64': 2PNE
            '65': 2PNHS
            '66': 3AC
            '67': 3AC1
            '68': 3AMEHS
            '69': 3AMNHS
            '70': 3ANEHS
            '71': 3HS
            '72': 3PC
            '73': 3PMEHS
            '74': 3PMNHS
            '75': 3PNEHS
            '76': 3WMNE
            '77': 48
            '78': 4AC
            '79': 4PC
            '80': 4T
            '81': 58
            '82': 5DS
            '83': 6.3
            '84': 618
            '85': 7.3
            '86': 719
            '87': 8
            '88': 8.3
            '89': 820
            '90': 9.3
            '91': 921
            '92': A11
            '93': A12
            '94': A13
            '95': A14
            '96': A15
            '97': A21
            '98': A22
            '99': A23
            '100': A24
            '101': A25
            '102': A26
            '103': A31
            '104': A32
            '105': A33
            '106': A35
            '107': A37
            '108': A38
            '109': A39
            '110': A40
            '111': A41
            '112': A41.
            '113': A42
            '114': A43
            '115': A44
            '116': A45
            '117': A45.
            '118': A46
            '119': A47
            '120': A48
            '121': A49
            '122': A50
            '123': A51
            '124': A52
            '125': A53
            '126': A54
            '127': A55
            '128': A56
            '129': A57
            '130': A58
            '131': AMB
            '132': AT1
            '133': AT2
            '134': BHD
            '135': BMB
            '136': D5W
            '137': DL
            '138': DM1
            '139': DM2
            '140': DM3
            '141': DM4
            '142': HAD
            '143': HAV
            '144': HD
            '145': HS
            '146': JN
            '147': KE1
            '148': KE2
            '149': KU1
            '150': KU2
            '151': MF
            '152': MNE
            '153': NF
            '154': NF.
            '155': NFF
            '156': NSS
            '157': OP
            '158': OP1
            '159': OPD
            '160': OT
            '161': P11
            '162': P12
            '163': P13
            '164': P21
            '165': P22
            '166': P23
            '167': P24
            '168': P25
            '169': P26
            '170': P31
            '171': P32
            '172': P33
            '173': P34
            '174': P41
            '175': PC1
            '176': PC2
            '177': PC3
            '178': PF
            '179': PRN
            '180': PRNFEV
            '181': PRNNV
            '182': PRNคัน
            '183': PRNผื่น
            '184': Q12
            '185': Q24
            '186': Q4
            '187': Q6
            '188': Q8
            '189': RED
            '190': S
            '191': T
            '192': T11
            '193': T12
            '194': T13
            '195': T14
            '196': T20
            '197': T21
            '198': T22
            '199': T23
            '200': T24
            '201': T25
            '202': T26
            '203': T31
            '204': T32
            '205': T33
            '206': T34
            '207': T41
            '208': T7
            '209': TE
            '210': TEHS
            '211': THS
            '212': TM
            '213': TME
            '214': TMEHS
            '215': TMHS
            '216': TMN
            '217': TMNE
            '218': TMNEHS
            '219': TMNHS
            '220': TN
            '221': TNE
            '222': TNEHS
            '223': TNHS
            '224': TT
            '225': TT1
            '226': VES
            '227': WC
            '228': WCN
            '229': WD
            '230': WI
            '231': WIR
            '232': WM1
            '233': WO
            '234': WP
            '235': WPL
            '236': WPH
            '237': WS
            '238': WS2
            '239': WS3
            '240': WSB
            '241': WV
            '242': Z
            '243': t10.30
            '244': t630
            '245': t730
            '246': t8.30
            '247': t9.30
            '248': tt10
            '249': tt11
            '250': tt12
            '251': tt17
            '252': tt18
            '253': tt19
            '254': tt21
            '255': tt22
            '256': tt23
            '257': tt24
            '258': tt5
            '259': tt6
            '260': tt8
            '261': tt9
  splits:
  - name: train
    num_bytes: 17024
    num_examples: 262
  download_size: 8505
  dataset_size: 17024
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Dataset Name

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