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---
dataset_info:
  features:
  - name: images
    dtype: image
  - name: embeddings
    sequence: float32
  splits:
  - name: courier
    num_bytes: 4257204.0
    num_examples: 100
  - name: aide
    num_bytes: 3491678.0
    num_examples: 100
  - name: police_officer
    num_bytes: 4252502.0
    num_examples: 100
  - name: purchasing_agent
    num_bytes: 5285492.0
    num_examples: 100
  - name: metal_worker
    num_bytes: 5097159.0
    num_examples: 100
  - name: financial_analyst
    num_bytes: 5261660.0
    num_examples: 100
  - name: stocker
    num_bytes: 5700830.0
    num_examples: 100
  - name: it_specialist
    num_bytes: 5731031.0
    num_examples: 100
  - name: writer
    num_bytes: 4309299.0
    num_examples: 100
  - name: accountant
    num_bytes: 4689435.0
    num_examples: 100
  - name: coach
    num_bytes: 4537870.0
    num_examples: 100
  - name: painter
    num_bytes: 3686294.0
    num_examples: 100
  - name: real_estate_broker
    num_bytes: 5241610.0
    num_examples: 100
  - name: truck_driver
    num_bytes: 4955237.0
    num_examples: 100
  - name: data_entry_keyer
    num_bytes: 6112746.0
    num_examples: 100
  - name: computer_support_specialist
    num_bytes: 5187781.0
    num_examples: 100
  - name: cook
    num_bytes: 3905039.0
    num_examples: 100
  - name: interior_designer
    num_bytes: 4970044.0
    num_examples: 100
  - name: nutritionist
    num_bytes: 4904269.0
    num_examples: 100
  - name: designer
    num_bytes: 5618928.0
    num_examples: 100
  - name: maid
    num_bytes: 3653112.0
    num_examples: 100
  - name: producer
    num_bytes: 5532083.0
    num_examples: 100
  - name: executive_assistant
    num_bytes: 5181631.0
    num_examples: 100
  - name: logistician
    num_bytes: 5623819.0
    num_examples: 100
  - name: tractor_operator
    num_bytes: 5566239.0
    num_examples: 100
  - name: doctor
    num_bytes: 3922429.0
    num_examples: 100
  - name: inventory_clerk
    num_bytes: 5675119.0
    num_examples: 100
  - name: sheet_metal_worker
    num_bytes: 4932393.0
    num_examples: 100
  - name: groundskeeper
    num_bytes: 5624913.0
    num_examples: 100
  - name: electrical_engineer
    num_bytes: 5486843.0
    num_examples: 100
  - name: physical_therapist
    num_bytes: 4416383.0
    num_examples: 100
  - name: insurance_agent
    num_bytes: 4503029.0
    num_examples: 100
  - name: aerospace_engineer
    num_bytes: 5005814.0
    num_examples: 100
  - name: psychologist
    num_bytes: 4751138.0
    num_examples: 100
  - name: financial_advisor
    num_bytes: 4616805.0
    num_examples: 100
  - name: printing_press_operator
    num_bytes: 4885677.0
    num_examples: 100
  - name: architect
    num_bytes: 4694972.0
    num_examples: 100
  - name: dental_hygienist
    num_bytes: 4051984.0
    num_examples: 100
  - name: artist
    num_bytes: 4093686.0
    num_examples: 100
  - name: office_worker
    num_bytes: 4984173.0
    num_examples: 100
  - name: ceo
    num_bytes: 4753603.0
    num_examples: 100
  - name: taxi_driver
    num_bytes: 4839205.0
    num_examples: 100
  - name: librarian
    num_bytes: 5209270.0
    num_examples: 100
  - name: author
    num_bytes: 4326443.0
    num_examples: 100
  - name: plumber
    num_bytes: 5004142.0
    num_examples: 100
  - name: construction_worker
    num_bytes: 5173177.0
    num_examples: 100
  - name: clergy
    num_bytes: 3852512.0
    num_examples: 100
  - name: electrician
    num_bytes: 5239521.0
    num_examples: 100
  - name: jailer
    num_bytes: 5032189.0
    num_examples: 100
  - name: credit_counselor
    num_bytes: 4814481.0
    num_examples: 100
  - name: scientist
    num_bytes: 4363783.0
    num_examples: 100
  - name: drywall_installer
    num_bytes: 4174819.0
    num_examples: 100
  - name: school_bus_driver
    num_bytes: 4998022.0
    num_examples: 100
  - name: dental_assistant
    num_bytes: 4140296.0
    num_examples: 100
  - name: fitness_instructor
    num_bytes: 4416504.0
    num_examples: 100
  - name: detective
    num_bytes: 4583678.0
    num_examples: 100
  - name: hairdresser
    num_bytes: 4463307.0
    num_examples: 100
  - name: welder
    num_bytes: 4918374.0
    num_examples: 100
  - name: pharmacy_technician
    num_bytes: 4661790.0
    num_examples: 100
  - name: compliance_officer
    num_bytes: 4845349.0
    num_examples: 100
  - name: singer
    num_bytes: 4638247.0
    num_examples: 100
  - name: tutor
    num_bytes: 3678185.0
    num_examples: 100
  - name: language_pathologist
    num_bytes: 5254361.0
    num_examples: 100
  - name: medical_records_specialist
    num_bytes: 5634506.0
    num_examples: 100
  - name: sales_manager
    num_bytes: 5056132.0
    num_examples: 100
  - name: industrial_engineer
    num_bytes: 5172786.0
    num_examples: 100
  - name: manager
    num_bytes: 4931846.0
    num_examples: 100
  - name: mechanic
    num_bytes: 4613784.0
    num_examples: 100
  - name: postal_worker
    num_bytes: 4441299.0
    num_examples: 100
  - name: computer_systems_analyst
    num_bytes: 6079263.0
    num_examples: 100
  - name: salesperson
    num_bytes: 5024667.0
    num_examples: 100
  - name: office_clerk
    num_bytes: 4755914.0
    num_examples: 100
  - name: claims_appraiser
    num_bytes: 4478395.0
    num_examples: 100
  - name: security_guard
    num_bytes: 5230558.0
    num_examples: 100
  - name: interviewer
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    num_examples: 100
  - name: dispatcher
    num_bytes: 5291584.0
    num_examples: 100
  - name: lawyer
    num_bytes: 4277664.0
    num_examples: 100
  - name: marketing_manager
    num_bytes: 5252505.0
    num_examples: 100
  - name: customer_service_representative
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    num_examples: 100
  - name: software_developer
    num_bytes: 5547030.0
    num_examples: 100
  - name: mover
    num_bytes: 4568118.0
    num_examples: 100
  - name: supervisor
    num_bytes: 4923186.0
    num_examples: 100
  - name: paralegal
    num_bytes: 4687033.0
    num_examples: 100
  - name: graphic_designer
    num_bytes: 5759315.0
    num_examples: 100
  - name: dentist
    num_bytes: 3970331.0
    num_examples: 100
  - name: roofer
    num_bytes: 5495073.0
    num_examples: 100
  - name: public_relations_specialist
    num_bytes: 5073442.0
    num_examples: 100
  - name: engineer
    num_bytes: 4250666.0
    num_examples: 100
  - name: occupational_therapist
    num_bytes: 3855692.0
    num_examples: 100
  - name: manicurist
    num_bytes: 4064118.0
    num_examples: 100
  - name: cleaner
    num_bytes: 5095971.0
    num_examples: 100
  - name: facilities_manager
    num_bytes: 5247879.0
    num_examples: 100
  - name: repair_worker
    num_bytes: 5113432.0
    num_examples: 100
  - name: cashier
    num_bytes: 5215203.0
    num_examples: 100
  - name: baker
    num_bytes: 4610706.0
    num_examples: 100
  - name: market_research_analyst
    num_bytes: 5593811.0
    num_examples: 100
  - name: health_technician
    num_bytes: 4477836.0
    num_examples: 100
  - name: veterinarian
    num_bytes: 4197438.0
    num_examples: 100
  - name: underwriter
    num_bytes: 4662113.0
    num_examples: 100
  - name: mechanical_engineer
    num_bytes: 5722417.0
    num_examples: 100
  - name: janitor
    num_bytes: 5390408.0
    num_examples: 100
  - name: pilot
    num_bytes: 3829685.0
    num_examples: 100
  - name: therapist
    num_bytes: 3859109.0
    num_examples: 100
  - name: director
    num_bytes: 4096085.0
    num_examples: 100
  - name: wholesale_buyer
    num_bytes: 6300854.0
    num_examples: 100
  - name: air_conditioning_installer
    num_bytes: 5741602.0
    num_examples: 100
  - name: butcher
    num_bytes: 5332426.0
    num_examples: 100
  - name: machinery_mechanic
    num_bytes: 5057875.0
    num_examples: 100
  - name: event_planner
    num_bytes: 5039870.0
    num_examples: 100
  - name: carpet_installer
    num_bytes: 5903738.0
    num_examples: 100
  - name: musician
    num_bytes: 4431405.0
    num_examples: 100
  - name: civil_engineer
    num_bytes: 5463535.0
    num_examples: 100
  - name: farmer
    num_bytes: 4772114.0
    num_examples: 100
  - name: financial_manager
    num_bytes: 5187071.0
    num_examples: 100
  - name: childcare_worker
    num_bytes: 4326077.0
    num_examples: 100
  - name: clerk
    num_bytes: 4268877.0
    num_examples: 100
  - name: machinist
    num_bytes: 4593820.0
    num_examples: 100
  - name: firefighter
    num_bytes: 4414229.0
    num_examples: 100
  - name: photographer
    num_bytes: 4056745.0
    num_examples: 100
  - name: file_clerk
    num_bytes: 5925494.0
    num_examples: 100
  - name: bus_driver
    num_bytes: 4714778.0
    num_examples: 100
  - name: fast_food_worker
    num_bytes: 4778503.0
    num_examples: 100
  - name: bartender
    num_bytes: 5407515.0
    num_examples: 100
  - name: computer_programmer
    num_bytes: 5961791.0
    num_examples: 100
  - name: pharmacist
    num_bytes: 5103862.0
    num_examples: 100
  - name: nursing_assistant
    num_bytes: 3969985.0
    num_examples: 100
  - name: career_counselor
    num_bytes: 4578703.0
    num_examples: 100
  - name: mental_health_counselor
    num_bytes: 4915411.0
    num_examples: 100
  - name: network_administrator
    num_bytes: 6576986.0
    num_examples: 100
  - name: teacher
    num_bytes: 4112341.0
    num_examples: 100
  - name: dishwasher
    num_bytes: 4582691.0
    num_examples: 100
  - name: teller
    num_bytes: 4580341.0
    num_examples: 100
  - name: teaching_assistant
    num_bytes: 4310141.0
    num_examples: 100
  - name: payroll_clerk
    num_bytes: 5104922.0
    num_examples: 100
  - name: laboratory_technician
    num_bytes: 4772940.0
    num_examples: 100
  - name: social_assistant
    num_bytes: 4975461.0
    num_examples: 100
  - name: radiologic_technician
    num_bytes: 4614401.0
    num_examples: 100
  - name: social_worker
    num_bytes: 4143912.0
    num_examples: 100
  - name: nurse
    num_bytes: 3251197.0
    num_examples: 100
  - name: receptionist
    num_bytes: 4962877.0
    num_examples: 100
  - name: carpenter
    num_bytes: 4367834.0
    num_examples: 100
  - name: correctional_officer
    num_bytes: 5027428.0
    num_examples: 100
  - name: community_manager
    num_bytes: 5327391.0
    num_examples: 100
  - name: massage_therapist
    num_bytes: 4309573.0
    num_examples: 100
  - name: head_cook
    num_bytes: 4488723.0
    num_examples: 100
  - name: plane_mechanic
    num_bytes: 4650683.0
    num_examples: 100
  download_size: 729196101
  dataset_size: 705285705.0
---
# Dataset Card for "prof_images_blip__stabilityai-stable-diffusion-2"

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