--- 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)