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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
  - name: police_officer
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    num_examples: 100
  - 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: 3744904.0
    num_examples: 100
  - name: truck_driver
    num_bytes: 4744401.0
    num_examples: 100
  - name: data_entry_keyer
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    num_examples: 100
  - name: computer_support_specialist
    num_bytes: 3220896.0
    num_examples: 100
  - name: cook
    num_bytes: 3507117.0
    num_examples: 100
  - name: interior_designer
    num_bytes: 3385993.0
    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
    num_bytes: 6024318.0
    num_examples: 100
  - name: doctor
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    num_examples: 100
  - name: inventory_clerk
    num_bytes: 3888705.0
    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
  - name: aerospace_engineer
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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
  - name: plumber
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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
    num_bytes: 3478727.0
    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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    num_examples: 100
  - name: interviewer
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    num_examples: 100
  - name: dispatcher
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    num_examples: 100
  - name: lawyer
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    num_examples: 100
  - name: marketing_manager
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    num_examples: 100
  - name: customer_service_representative
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    num_examples: 100
  - name: software_developer
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    num_examples: 100
  - name: mover
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    num_examples: 100
  - 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: 3775481.0
    num_examples: 100
  - name: occupational_therapist
    num_bytes: 3611377.0
    num_examples: 100
  - name: manicurist
    num_bytes: 3099482.0
    num_examples: 100
  - name: cleaner
    num_bytes: 4053227.0
    num_examples: 100
  - name: facilities_manager
    num_bytes: 3761193.0
    num_examples: 100
  - name: repair_worker
    num_bytes: 4110405.0
    num_examples: 100
  - name: cashier
    num_bytes: 3631158.0
    num_examples: 100
  - name: baker
    num_bytes: 3700422.0
    num_examples: 100
  - name: market_research_analyst
    num_bytes: 3859395.0
    num_examples: 100
  - name: health_technician
    num_bytes: 3182780.0
    num_examples: 100
  - name: veterinarian
    num_bytes: 3550905.0
    num_examples: 100
  - name: underwriter
    num_bytes: 3576463.0
    num_examples: 100
  - name: mechanical_engineer
    num_bytes: 4339495.0
    num_examples: 100
  - name: janitor
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    num_examples: 100
  - name: pilot
    num_bytes: 3669754.0
    num_examples: 100
  - name: therapist
    num_bytes: 3484772.0
    num_examples: 100
  - name: director
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    num_examples: 100
  - name: wholesale_buyer
    num_bytes: 4629384.0
    num_examples: 100
  - name: air_conditioning_installer
    num_bytes: 4619514.0
    num_examples: 100
  - name: butcher
    num_bytes: 4624676.0
    num_examples: 100
  - name: machinery_mechanic
    num_bytes: 4698277.0
    num_examples: 100
  - name: event_planner
    num_bytes: 4148009.0
    num_examples: 100
  - name: carpet_installer
    num_bytes: 4831490.0
    num_examples: 100
  - name: musician
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    num_examples: 100
  - name: civil_engineer
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    num_examples: 100
  - name: farmer
    num_bytes: 5696634.0
    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
    num_bytes: 4709558.0
    num_examples: 100
  - name: file_clerk
    num_bytes: 4227425.0
    num_examples: 100
  - name: bus_driver
    num_bytes: 4414556.0
    num_examples: 100
  - name: fast_food_worker
    num_bytes: 3558196.0
    num_examples: 100
  - name: bartender
    num_bytes: 4220859.0
    num_examples: 100
  - name: computer_programmer
    num_bytes: 3728830.0
    num_examples: 100
  - name: pharmacist
    num_bytes: 3708399.0
    num_examples: 100
  - name: nursing_assistant
    num_bytes: 3099367.0
    num_examples: 100
  - name: career_counselor
    num_bytes: 3393143.0
    num_examples: 100
  - name: mental_health_counselor
    num_bytes: 3215113.0
    num_examples: 100
  - name: network_administrator
    num_bytes: 3856159.0
    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
    num_bytes: 3491372.0
    num_examples: 100
  - name: payroll_clerk
    num_bytes: 3263271.0
    num_examples: 100
  - name: laboratory_technician
    num_bytes: 3271155.0
    num_examples: 100
  - name: social_assistant
    num_bytes: 3774971.0
    num_examples: 100
  - name: radiologic_technician
    num_bytes: 3021348.0
    num_examples: 100
  - name: social_worker
    num_bytes: 4232132.0
    num_examples: 100
  - name: nurse
    num_bytes: 3272832.0
    num_examples: 100
  - name: receptionist
    num_bytes: 3134671.0
    num_examples: 100
  - name: carpenter
    num_bytes: 4402559.0
    num_examples: 100
  - name: correctional_officer
    num_bytes: 3789430.0
    num_examples: 100
  - name: community_manager
    num_bytes: 3756220.0
    num_examples: 100
  - name: massage_therapist
    num_bytes: 2980706.0
    num_examples: 100
  - name: head_cook
    num_bytes: 3919248.0
    num_examples: 100
  - name: plane_mechanic
    num_bytes: 3715118.0
    num_examples: 100
  download_size: 581741855
  dataset_size: 557958672.0
---
# Dataset Card for "prof_images_blip__wavymulder-Analog-Diffusion"

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