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---
dataset_info:
  features:
  - name: images
    dtype: image
  - name: embeddings
    sequence: float32
  splits:
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    num_examples: 100
  - name: aide
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    num_examples: 100
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  - name: purchasing_agent
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    num_examples: 100
  - name: metal_worker
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    num_examples: 100
  - name: financial_analyst
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    num_examples: 100
  - name: stocker
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    num_examples: 100
  - name: it_specialist
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    num_examples: 100
  - name: writer
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    num_examples: 100
  - name: accountant
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    num_examples: 100
  - name: coach
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    num_examples: 100
  - name: painter
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    num_examples: 100
  - name: real_estate_broker
    num_bytes: 3439406.0
    num_examples: 100
  - name: truck_driver
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    num_examples: 100
  - name: data_entry_keyer
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    num_examples: 100
  - name: computer_support_specialist
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    num_examples: 100
  - name: cook
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    num_examples: 100
  - name: interior_designer
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    num_examples: 100
  - name: nutritionist
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    num_examples: 100
  - name: designer
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    num_examples: 100
  - name: maid
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    num_examples: 100
  - name: producer
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    num_examples: 100
  - name: executive_assistant
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    num_examples: 100
  - name: logistician
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    num_examples: 100
  - name: tractor_operator
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    num_examples: 100
  - name: doctor
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    num_examples: 100
  - name: inventory_clerk
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    num_examples: 100
  - name: sheet_metal_worker
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    num_examples: 100
  - name: groundskeeper
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    num_examples: 100
  - name: electrical_engineer
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    num_examples: 100
  - name: physical_therapist
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    num_examples: 100
  - name: insurance_agent
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    num_examples: 100
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    num_examples: 100
  - name: psychologist
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    num_examples: 100
  - name: financial_advisor
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    num_examples: 100
  - name: printing_press_operator
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    num_examples: 100
  - name: architect
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    num_examples: 100
  - name: dental_hygienist
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    num_examples: 100
  - name: artist
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    num_examples: 100
  - name: office_worker
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    num_examples: 100
  - name: ceo
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    num_examples: 100
  - name: taxi_driver
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    num_examples: 100
  - name: librarian
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    num_examples: 100
  - name: author
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    num_examples: 100
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    num_examples: 100
  - name: construction_worker
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    num_examples: 100
  - name: clergy
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    num_examples: 100
  - name: electrician
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    num_examples: 100
  - name: jailer
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    num_examples: 100
  - name: credit_counselor
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    num_examples: 100
  - name: scientist
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    num_examples: 100
  - name: drywall_installer
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    num_examples: 100
  - name: school_bus_driver
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    num_examples: 100
  - name: dental_assistant
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    num_examples: 100
  - name: fitness_instructor
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    num_examples: 100
  - name: detective
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    num_examples: 100
  - name: hairdresser
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    num_examples: 100
  - name: welder
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    num_examples: 100
  - name: pharmacy_technician
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    num_examples: 100
  - name: compliance_officer
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    num_examples: 100
  - name: singer
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    num_examples: 100
  - name: tutor
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    num_examples: 100
  - name: language_pathologist
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    num_examples: 100
  - name: medical_records_specialist
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    num_examples: 100
  - name: sales_manager
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    num_examples: 100
  - name: industrial_engineer
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    num_examples: 100
  - name: manager
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    num_examples: 100
  - name: mechanic
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    num_examples: 100
  - name: postal_worker
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    num_examples: 100
  - name: computer_systems_analyst
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    num_examples: 100
  - name: salesperson
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    num_examples: 100
  - name: office_clerk
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    num_examples: 100
  - name: claims_appraiser
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  - name: security_guard
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  - name: interviewer
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  - name: marketing_manager
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  - name: customer_service_representative
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  - name: mover
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  - name: supervisor
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    num_examples: 100
  - name: paralegal
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    num_examples: 100
  - name: graphic_designer
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    num_examples: 100
  - name: dentist
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    num_examples: 100
  - name: roofer
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    num_examples: 100
  - name: public_relations_specialist
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    num_examples: 100
  - name: engineer
    num_bytes: 3867898.0
    num_examples: 100
  - name: occupational_therapist
    num_bytes: 3205012.0
    num_examples: 100
  - name: manicurist
    num_bytes: 3112145.0
    num_examples: 100
  - name: cleaner
    num_bytes: 3475664.0
    num_examples: 100
  - name: facilities_manager
    num_bytes: 3562539.0
    num_examples: 100
  - name: repair_worker
    num_bytes: 3906302.0
    num_examples: 100
  - name: cashier
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    num_examples: 100
  - name: baker
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    num_examples: 100
  - name: market_research_analyst
    num_bytes: 3889616.0
    num_examples: 100
  - name: health_technician
    num_bytes: 3356530.0
    num_examples: 100
  - name: veterinarian
    num_bytes: 3249094.0
    num_examples: 100
  - name: underwriter
    num_bytes: 3279381.0
    num_examples: 100
  - name: mechanical_engineer
    num_bytes: 4452331.0
    num_examples: 100
  - name: janitor
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    num_examples: 100
  - name: pilot
    num_bytes: 3918334.0
    num_examples: 100
  - name: therapist
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    num_examples: 100
  - name: director
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    num_examples: 100
  - name: wholesale_buyer
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    num_examples: 100
  - name: air_conditioning_installer
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    num_examples: 100
  - name: butcher
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    num_examples: 100
  - name: machinery_mechanic
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    num_examples: 100
  - name: event_planner
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    num_examples: 100
  - name: carpet_installer
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    num_examples: 100
  - name: musician
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    num_examples: 100
  - name: civil_engineer
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    num_examples: 100
  - name: farmer
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    num_examples: 100
  - name: financial_manager
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    num_examples: 100
  - name: childcare_worker
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    num_examples: 100
  - name: clerk
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    num_examples: 100
  - name: machinist
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    num_examples: 100
  - name: firefighter
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    num_examples: 100
  - name: photographer
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    num_examples: 100
  - name: file_clerk
    num_bytes: 4350476.0
    num_examples: 100
  - name: bus_driver
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    num_examples: 100
  - name: fast_food_worker
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    num_examples: 100
  - name: bartender
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    num_examples: 100
  - name: computer_programmer
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    num_examples: 100
  - name: pharmacist
    num_bytes: 3996786.0
    num_examples: 100
  - name: nursing_assistant
    num_bytes: 3158704.0
    num_examples: 100
  - name: career_counselor
    num_bytes: 3415428.0
    num_examples: 100
  - name: mental_health_counselor
    num_bytes: 3347482.0
    num_examples: 100
  - name: network_administrator
    num_bytes: 4600993.0
    num_examples: 100
  - name: teacher
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    num_examples: 100
  - name: dishwasher
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    num_examples: 100
  - name: teller
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    num_examples: 100
  - name: teaching_assistant
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    num_examples: 100
  - name: payroll_clerk
    num_bytes: 3292390.0
    num_examples: 100
  - name: laboratory_technician
    num_bytes: 3898419.0
    num_examples: 100
  - name: social_assistant
    num_bytes: 3222358.0
    num_examples: 100
  - name: radiologic_technician
    num_bytes: 3937403.0
    num_examples: 100
  - name: social_worker
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    num_examples: 100
  - name: nurse
    num_bytes: 3123385.0
    num_examples: 100
  - name: receptionist
    num_bytes: 3372519.0
    num_examples: 100
  - name: carpenter
    num_bytes: 4415058.0
    num_examples: 100
  - name: correctional_officer
    num_bytes: 4070069.0
    num_examples: 100
  - name: community_manager
    num_bytes: 3301952.0
    num_examples: 100
  - name: massage_therapist
    num_bytes: 2954838.0
    num_examples: 100
  - name: head_cook
    num_bytes: 3612046.0
    num_examples: 100
  - name: plane_mechanic
    num_bytes: 3974652.0
    num_examples: 100
  download_size: 567913139
  dataset_size: 544061331.0
---
# Dataset Card for "prof_images_blip__22h-vintedois-diffusion-v0-1"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)