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metadata
dataset_info:
  features:
    - name: images
      dtype: image
    - name: embeddings
      sequence: float32
  splits:
    - name: courier
      num_bytes: 2531808
      num_examples: 100
    - name: aide
      num_bytes: 2679124
      num_examples: 100
    - name: financial_analyst
      num_bytes: 2813013
      num_examples: 100
    - name: it_specialist
      num_bytes: 4639358
      num_examples: 100
    - name: accountant
      num_bytes: 2896247
      num_examples: 100
    - name: coach
      num_bytes: 2882930
      num_examples: 100
    - name: data_entry_keyer
      num_bytes: 2818554
      num_examples: 100
    - name: computer_support_specialist
      num_bytes: 5378771
      num_examples: 100
    - name: cook
      num_bytes: 3905031
      num_examples: 100
    - name: interior_designer
      num_bytes: 3331210
      num_examples: 100
    - name: designer
      num_bytes: 2642954
      num_examples: 100
    - name: executive_assistant
      num_bytes: 2258462
      num_examples: 100
    - name: doctor
      num_bytes: 2518630
      num_examples: 100
    - name: inventory_clerk
      num_bytes: 3409472
      num_examples: 100
    - name: groundskeeper
      num_bytes: 2561060
      num_examples: 100
    - name: electrical_engineer
      num_bytes: 5135441
      num_examples: 100
    - name: insurance_agent
      num_bytes: 1620035
      num_examples: 100
    - name: aerospace_engineer
      num_bytes: 3775646
      num_examples: 100
    - name: financial_advisor
      num_bytes: 2101572
      num_examples: 100
    - name: architect
      num_bytes: 2260391
      num_examples: 100
    - name: dental_hygienist
      num_bytes: 2310714
      num_examples: 100
    - name: artist
      num_bytes: 2748513
      num_examples: 100
    - name: ceo
      num_bytes: 2000864
      num_examples: 100
    - name: author
      num_bytes: 3099107
      num_examples: 100
    - name: construction_worker
      num_bytes: 3129494
      num_examples: 100
    - name: clergy
      num_bytes: 1658981
      num_examples: 100
    - name: electrician
      num_bytes: 3902612
      num_examples: 100
    - name: jailer
      num_bytes: 2136768
      num_examples: 100
    - name: credit_counselor
      num_bytes: 2526314
      num_examples: 100
    - name: drywall_installer
      num_bytes: 2038117
      num_examples: 100
    - name: dental_assistant
      num_bytes: 2585938
      num_examples: 100
    - name: fitness_instructor
      num_bytes: 2716152
      num_examples: 100
    - name: detective
      num_bytes: 2062930
      num_examples: 100
    - name: hairdresser
      num_bytes: 2584556
      num_examples: 100
    - name: compliance_officer
      num_bytes: 2399239
      num_examples: 100
    - name: language_pathologist
      num_bytes: 1045161
      num_examples: 60
    - name: industrial_engineer
      num_bytes: 4357711
      num_examples: 100
    - name: computer_systems_analyst
      num_bytes: 4291635
      num_examples: 100
    - name: claims_appraiser
      num_bytes: 3193770
      num_examples: 100
    - name: interviewer
      num_bytes: 2338306
      num_examples: 100
    - name: dispatcher
      num_bytes: 3374529
      num_examples: 100
    - name: customer_service_representative
      num_bytes: 3173934
      num_examples: 100
    - name: graphic_designer
      num_bytes: 3311895
      num_examples: 100
    - name: dentist
      num_bytes: 1605601
      num_examples: 100
    - name: engineer
      num_bytes: 3633439
      num_examples: 100
    - name: cleaner
      num_bytes: 1870345
      num_examples: 100
    - name: facilities_manager
      num_bytes: 2759902
      num_examples: 100
    - name: cashier
      num_bytes: 3452619
      num_examples: 100
    - name: baker
      num_bytes: 2784630
      num_examples: 100
    - name: health_technician
      num_bytes: 2738076
      num_examples: 100
    - name: janitor
      num_bytes: 1169693
      num_examples: 100
    - name: director
      num_bytes: 2243652
      num_examples: 100
    - name: air_conditioning_installer
      num_bytes: 4242936
      num_examples: 100
    - name: butcher
      num_bytes: 1952460
      num_examples: 100
    - name: event_planner
      num_bytes: 3210506
      num_examples: 100
    - name: carpet_installer
      num_bytes: 3013415
      num_examples: 100
    - name: civil_engineer
      num_bytes: 3693552
      num_examples: 100
    - name: farmer
      num_bytes: 3084247
      num_examples: 100
    - name: financial_manager
      num_bytes: 2364896
      num_examples: 100
    - name: childcare_worker
      num_bytes: 1268385
      num_examples: 100
    - name: clerk
      num_bytes: 2799459
      num_examples: 100
    - name: firefighter
      num_bytes: 3552905
      num_examples: 100
    - name: file_clerk
      num_bytes: 3642101
      num_examples: 100
    - name: bus_driver
      num_bytes: 3449795
      num_examples: 100
    - name: fast_food_worker
      num_bytes: 3737822
      num_examples: 100
    - name: bartender
      num_bytes: 3623120
      num_examples: 100
    - name: computer_programmer
      num_bytes: 4341304
      num_examples: 100
    - name: career_counselor
      num_bytes: 2783353
      num_examples: 100
    - name: dishwasher
      num_bytes: 3136376
      num_examples: 100
    - name: laboratory_technician
      num_bytes: 3008169
      num_examples: 100
    - name: carpenter
      num_bytes: 2376679
      num_examples: 100
    - name: correctional_officer
      num_bytes: 2429145
      num_examples: 100
    - name: community_manager
      num_bytes: 3189906
      num_examples: 100
    - name: head_cook
      num_bytes: 3338009
      num_examples: 100
  download_size: 214113890
  dataset_size: 215643446

Dataset Card for "prof_images_blip__andite-anything-v4.0"

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