---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': lymphocyte
          '1': neutrophil
          '2': basophil
          '3': monocyte
          '4': eosinophil
          '5': platelet
          '6': erythroblast
          '7': immature granulocyte
          '8': irregular_contours
          '9': intermediate
          '10': smooth_contours
          '11': elongated_shape
          '12': round_shape
          '13': coarse_texture
          '14': fine_texture
          '15': very_weak
          '16': moderate
          '17': weak
          '18': strong
          '19': leishmania_haptomonad
          '20': hela_metaphase
          '21': tobacco_leaf_chloroplast
          '22': cardiac_muscle
          '23': zebrafish_retina
          '24': metaphase
          '25': g2
          '26': anaphase
          '27': g1
          '28': s
          '29': prophase
          '30': telophase
          '31': golgi_twin
          '32': diffuse
          '33': interphase
          '34': partly_disassembled
          '35': prometaphase
          '36': late_anaphase
          '37': early_anaphase
          '38': apoptosis
          '39': binucleate
          '40': bipolar_spindle
          '41': aster
          '42': midbody
          '43': low-grade-lsil
          '44': negative-nilm
          '45': high-grade-hsil
          '46': carcinoma-scc
          '47': alnus_normal
          '48': corylus_avellana_normal
          '49': corylus_avellana_abnormal
          '50': non_pollen
          '51': debris
          '52': adipose
          '53': stroma
          '54': lympho
          '55': tumor
          '56': complex
          '57': mucosa
          '58': empty
          '59': background
          '60': smooth_muscle
          '61': normal_mucosa
          '62': cancer_stroma
          '63': lymphocytes
          '64': mucus
          '65': chronic_heart_failure
          '66': not_chronic_heart_failure
          '67': taxol_mt_in-vitro
          '68': gmpcpp_mt_in-vitro
          '69': nuclei
          '70': cell_membrane
          '71': 2-5um_int_calib_beads
          '72': e_coli_gfp-fill
          '73': e_coli_nuclei
          '74': lysosomes
          '75': tetraspeck_beads
          '76': actin
          '77': synthetic_noise
          '78': unif_test_slide
          '79': golgi
          '80': nuclear_punctae
          '81': membrane
          '82': er
          '83': centrosome
          '84': nucleoplasm
          '85': vesicles
          '86': nucleolus_gc
          '87': cytoplasmic
          '88': cell_contact
          '89': big_aggregates
          '90': nuclear_membrane
          '91': focal_adhesions
          '92': nucleolus_fc_dfc
          '93': chromatin
          '94': cytoskeleton
          '95': mitochondria
          '96': unknown
          '97': benign
          '98': malignant
          '99': cored
          '100': negative
          '101': caa
          '102': normal_mitochondria
          '103': abnormal_mitochondria
  - name: label_name
    dtype: string
  - name: dataset
    dtype: string
  - name: domain
    dtype: string
  - name: institution
    dtype: string
  - name: license
    dtype: string
  - name: microns_per_pixel
    dtype: float32
  - name: modality
    dtype: string
  - name: ncbitaxon_id
    dtype: string
  - name: ncbitaxon_name
    dtype: string
  - name: pmid
    dtype: string
  - name: split
    dtype: string
  - name: stain
    dtype: string
  - name: subdomain
    dtype: string
  - name: synthetic
    dtype: bool
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: answer_idx
    dtype: int64
  - name: options
    sequence: string
  - name: question_name
    dtype: string
  - name: question_id
    dtype: string
  splits:
  - name: test
    num_bytes: 3206828940.2546926
    num_examples: 16130
  download_size: 2860520402
  dataset_size: 3206828940.2546926
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---