README.md

---
dataset_info:
  features:
  - name: images
    dtype: image
  - name: embeddings
    sequence: float32
  splits:
  - name: courier
    num_bytes: 3728137.0
    num_examples: 100
  - name: aide
    num_bytes: 3533609.0
    num_examples: 100
  - name: police_officer
    num_bytes: 3764372.0
    num_examples: 100
  - name: purchasing_agent
    num_bytes: 3847745.0
    num_examples: 100
  - name: metal_worker
    num_bytes: 3704792.0
    num_examples: 100
  - name: financial_analyst
    num_bytes: 4179766.0
    num_examples: 100
  - name: stocker
    num_bytes: 3658002.0
    num_examples: 100
  - name: it_specialist
    num_bytes: 4138564.0
    num_examples: 100
  - name: writer
    num_bytes: 3769188.0
    num_examples: 100
  - name: accountant
    num_bytes: 3913750.0
    num_examples: 100
  - name: coach
    num_bytes: 3601098.0
    num_examples: 100
  - name: painter
    num_bytes: 3841437.0
    num_examples: 100
  - name: real_estate_broker
    num_bytes: 3798206.0
    num_examples: 100
  - name: truck_driver
    num_bytes: 3486918.0
    num_examples: 100
  - name: data_entry_keyer
    num_bytes: 3998095.0
    num_examples: 100
  - name: computer_support_specialist
    num_bytes: 4032722.0
    num_examples: 100
  - name: cook
    num_bytes: 3610019.0
    num_examples: 100
  - name: interior_designer
    num_bytes: 3551697.0
    num_examples: 100
  - name: nutritionist
    num_bytes: 3975024.0
    num_examples: 100
  - name: designer
    num_bytes: 4350345.0
    num_examples: 100
  - name: maid
    num_bytes: 3316931.0
    num_examples: 100
  - name: producer
    num_bytes: 4105705.0
    num_examples: 100
  - name: executive_assistant
    num_bytes: 3787341.0
    num_examples: 100
  - name: logistician
    num_bytes: 4158777.0
    num_examples: 100
  - name: tractor_operator
    num_bytes: 4228107.0
    num_examples: 100
  - name: doctor
    num_bytes: 3658142.0
    num_examples: 100
  - name: inventory_clerk
    num_bytes: 3847331.0
    num_examples: 100
  - name: sheet_metal_worker
    num_bytes: 3616512.0
    num_examples: 100
  - name: groundskeeper
    num_bytes: 3533415.0
    num_examples: 100
  - name: electrical_engineer
    num_bytes: 4464436.0
    num_examples: 100
  - name: physical_therapist
    num_bytes: 3622362.0
    num_examples: 100
  - name: insurance_agent
    num_bytes: 3904912.0
    num_examples: 100
  - name: aerospace_engineer
    num_bytes: 4313611.0
    num_examples: 100
  - name: psychologist
    num_bytes: 3400130.0
    num_examples: 100
  - name: financial_advisor
    num_bytes: 3803071.0
    num_examples: 100
  - name: printing_press_operator
    num_bytes: 3563624.0
    num_examples: 100
  - name: architect
    num_bytes: 3537664.0
    num_examples: 100
  - name: dental_hygienist
    num_bytes: 3492018.0
    num_examples: 100
  - name: artist
    num_bytes: 4116016.0
    num_examples: 100
  - name: office_worker
    num_bytes: 3568319.0
    num_examples: 100
  - name: ceo
    num_bytes: 3771230.0
    num_examples: 100
  - name: taxi_driver
    num_bytes: 3959676.0
    num_examples: 90
  - name: librarian
    num_bytes: 3607080.0
    num_examples: 100
  - name: author
    num_bytes: 3952699.0
    num_examples: 100
  - name: plumber
    num_bytes: 3723878.0
    num_examples: 100
  - name: construction_worker
    num_bytes: 3327375.0
    num_examples: 100
  - name: clergy
    num_bytes: 3590833.0
    num_examples: 100
  - name: electrician
    num_bytes: 4324800.0
    num_examples: 100
  - name: jailer
    num_bytes: 3552781.0
    num_examples: 100
  - name: credit_counselor
    num_bytes: 3390984.0
    num_examples: 90
  - name: scientist
    num_bytes: 3942375.0
    num_examples: 100
  - name: drywall_installer
    num_bytes: 3311910.0
    num_examples: 100
  - name: school_bus_driver
    num_bytes: 3953118.0
    num_examples: 100
  - name: dental_assistant
    num_bytes: 3429137.0
    num_examples: 100
  - name: fitness_instructor
    num_bytes: 3745981.0
    num_examples: 100
  - name: detective
    num_bytes: 3367567.0
    num_examples: 100
  - name: hairdresser
    num_bytes: 3428622.0
    num_examples: 100
  - name: welder
    num_bytes: 3420858.0
    num_examples: 100
  - name: pharmacy_technician
    num_bytes: 3818617.0
    num_examples: 100
  - name: compliance_officer
    num_bytes: 4315144.0
    num_examples: 100
  - name: singer
    num_bytes: 3744386.0
    num_examples: 100
  - name: tutor
    num_bytes: 3543491.0
    num_examples: 100
  - name: language_pathologist
    num_bytes: 3471887.0
    num_examples: 100
  - name: medical_records_specialist
    num_bytes: 3855750.0
    num_examples: 100
  - name: sales_manager
    num_bytes: 3882286.0
    num_examples: 100
  - name: industrial_engineer
    num_bytes: 3990981.0
    num_examples: 100
  - name: manager
    num_bytes: 3920949.0
    num_examples: 100
  - name: mechanic
    num_bytes: 3895729.0
    num_examples: 100
  - name: postal_worker
    num_bytes: 3834043.0
    num_examples: 100
  - name: computer_systems_analyst
    num_bytes: 4266753.0
    num_examples: 100
  - name: salesperson
    num_bytes: 3955134.0
    num_examples: 100
  - name: office_clerk
    num_bytes: 3690502.0
    num_examples: 100
  - name: claims_appraiser
    num_bytes: 3820478.0
    num_examples: 100
  - name: security_guard
    num_bytes: 3349032.0
    num_examples: 100
  - name: interviewer
    num_bytes: 3879613.0
    num_examples: 100
  - name: dispatcher
    num_bytes: 4517454.0
    num_examples: 100
  - name: lawyer
    num_bytes: 3528607.0
    num_examples: 100
  - name: marketing_manager
    num_bytes: 3896583.0
    num_examples: 100
  - name: customer_service_representative
    num_bytes: 3994529.0
    num_examples: 100
  - name: software_developer
    num_bytes: 4048589.0
    num_examples: 100
  - name: mover
    num_bytes: 3976525.0
    num_examples: 100
  - name: supervisor
    num_bytes: 3795396.0
    num_examples: 100
  - name: paralegal
    num_bytes: 3999180.0
    num_examples: 100
  - name: graphic_designer
    num_bytes: 4813106.0
    num_examples: 100
  - name: dentist
    num_bytes: 3295120.0
    num_examples: 100
  - name: roofer
    num_bytes: 3152196.0
    num_examples: 100
  - name: public_relations_specialist
    num_bytes: 3911685.0
    num_examples: 100
  - name: engineer
    num_bytes: 3960231.0
    num_examples: 100
  - name: occupational_therapist
    num_bytes: 3854486.0
    num_examples: 100
  - name: manicurist
    num_bytes: 3545009.0
    num_examples: 100
  - name: cleaner
    num_bytes: 3775026.0
    num_examples: 100
  - name: facilities_manager
    num_bytes: 3771581.0
    num_examples: 100
  - name: repair_worker
    num_bytes: 3571632.0
    num_examples: 100
  - name: cashier
    num_bytes: 3912805.0
    num_examples: 100
  - name: baker
    num_bytes: 3551856.0
    num_examples: 100
  - name: market_research_analyst
    num_bytes: 3912683.0
    num_examples: 100
  - name: health_technician
    num_bytes: 4168514.0
    num_examples: 100
  - name: veterinarian
    num_bytes: 3815136.0
    num_examples: 100
  - name: underwriter
    num_bytes: 3594832.0
    num_examples: 100
  - name: mechanical_engineer
    num_bytes: 4384999.0
    num_examples: 100
  - name: janitor
    num_bytes: 3207114.0
    num_examples: 100
  - name: pilot
    num_bytes: 3673136.0
    num_examples: 100
  - name: therapist
    num_bytes: 3591682.0
    num_examples: 100
  - name: director
    num_bytes: 3790228.0
    num_examples: 100
  - name: wholesale_buyer
    num_bytes: 3881571.0
    num_examples: 100
  - name: air_conditioning_installer
    num_bytes: 4032276.0
    num_examples: 100
  - name: butcher
    num_bytes: 3785112.0
    num_examples: 100
  - name: machinery_mechanic
    num_bytes: 3915783.0
    num_examples: 100
  - name: event_planner
    num_bytes: 4002974.0
    num_examples: 100
  - name: carpet_installer
    num_bytes: 4047955.0
    num_examples: 100
  - name: musician
    num_bytes: 4083969.0
    num_examples: 100
  - name: civil_engineer
    num_bytes: 3600869.0
    num_examples: 100
  - name: farmer
    num_bytes: 3367641.0
    num_examples: 100
  - name: financial_manager
    num_bytes: 3853773.0
    num_examples: 100
  - name: childcare_worker
    num_bytes: 3791195.0
    num_examples: 100
  - name: clerk
    num_bytes: 3754385.0
    num_examples: 100
  - name: machinist
    num_bytes: 3924644.0
    num_examples: 100
  - name: firefighter
    num_bytes: 3828617.0
    num_examples: 100
  - name: photographer
    num_bytes: 3924231.0
    num_examples: 100
  - name: file_clerk
    num_bytes: 3875992.0
    num_examples: 100
  - name: bus_driver
    num_bytes: 3846140.0
    num_examples: 100
  - name: fast_food_worker
    num_bytes: 3779034.0
    num_examples: 100
  - name: bartender
    num_bytes: 3557577.0
    num_examples: 100
  - name: computer_programmer
    num_bytes: 4026900.0
    num_examples: 100
  - name: pharmacist
    num_bytes: 3895948.0
    num_examples: 100
  - name: nursing_assistant
    num_bytes: 3506147.0
    num_examples: 100
  - name: career_counselor
    num_bytes: 3647153.0
    num_examples: 100
  - name: mental_health_counselor
    num_bytes: 3415399.0
    num_examples: 100
  - name: network_administrator
    num_bytes: 4927703.0
    num_examples: 100
  - name: teacher
    num_bytes: 3491741.0
    num_examples: 100
  - name: dishwasher
    num_bytes: 3667556.0
    num_examples: 100
  - name: teller
    num_bytes: 3627718.0
    num_examples: 100
  - name: teaching_assistant
    num_bytes: 3617832.0
    num_examples: 100
  - name: payroll_clerk
    num_bytes: 4155239.0
    num_examples: 100
  - name: laboratory_technician
    num_bytes: 4161997.0
    num_examples: 100
  - name: social_assistant
    num_bytes: 3802528.0
    num_examples: 100
  - name: radiologic_technician
    num_bytes: 4181639.0
    num_examples: 100
  - name: social_worker
    num_bytes: 3684552.0
    num_examples: 100
  - name: nurse
    num_bytes: 3434064.0
    num_examples: 100
  - name: receptionist
    num_bytes: 3764476.0
    num_examples: 100
  - name: carpenter
    num_bytes: 3311541.0
    num_examples: 100
  - name: correctional_officer
    num_bytes: 3300645.0
    num_examples: 100
  - name: community_manager
    num_bytes: 3962049.0
    num_examples: 100
  - name: massage_therapist
    num_bytes: 2992325.0
    num_examples: 100
  - name: head_cook
    num_bytes: 3548152.0
    num_examples: 100
  - name: plane_mechanic
    num_bytes: 3844177.0
    num_examples: 100
  download_size: 577245338
  dataset_size: 553388728.0
---
# Dataset Card for "prof_images_blip__andite-pastel-mix"

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