--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 3764373.0 num_examples: 100 - name: aide num_bytes: 3056396.0 num_examples: 100 - name: police_officer num_bytes: 3099176.0 num_examples: 100 - name: purchasing_agent num_bytes: 3251868.0 num_examples: 100 - name: metal_worker num_bytes: 4312082.0 num_examples: 100 - name: financial_analyst num_bytes: 3516982.0 num_examples: 100 - name: stocker num_bytes: 3403079.0 num_examples: 100 - name: it_specialist num_bytes: 3708720.0 num_examples: 100 - name: writer num_bytes: 4048957.0 num_examples: 100 - name: accountant num_bytes: 2823321.0 num_examples: 100 - name: coach num_bytes: 3398051.0 num_examples: 100 - name: painter num_bytes: 3788267.0 num_examples: 100 - name: real_estate_broker num_bytes: 3156797.0 num_examples: 100 - name: truck_driver num_bytes: 4403296.0 num_examples: 100 - name: data_entry_keyer num_bytes: 3623965.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3520536.0 num_examples: 100 - name: cook num_bytes: 3584001.0 num_examples: 100 - name: interior_designer num_bytes: 3730454.0 num_examples: 100 - name: nutritionist num_bytes: 3438909.0 num_examples: 100 - name: designer num_bytes: 3113883.0 num_examples: 100 - name: maid num_bytes: 3622458.0 num_examples: 100 - name: producer num_bytes: 3667845.0 num_examples: 100 - name: executive_assistant num_bytes: 2907430.0 num_examples: 100 - name: logistician num_bytes: 3823886.0 num_examples: 100 - name: tractor_operator num_bytes: 5132720.0 num_examples: 100 - name: doctor num_bytes: 2957858.0 num_examples: 100 - name: inventory_clerk num_bytes: 3848580.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4055392.0 num_examples: 100 - name: groundskeeper num_bytes: 3915519.0 num_examples: 100 - name: electrical_engineer num_bytes: 4353001.0 num_examples: 100 - name: physical_therapist num_bytes: 2721962.0 num_examples: 100 - name: insurance_agent num_bytes: 2791798.0 num_examples: 100 - name: aerospace_engineer num_bytes: 4187179.0 num_examples: 100 - name: psychologist num_bytes: 2983207.0 num_examples: 100 - name: financial_advisor num_bytes: 2977597.0 num_examples: 100 - name: printing_press_operator num_bytes: 4647443.0 num_examples: 100 - name: architect num_bytes: 3224589.0 num_examples: 100 - name: dental_hygienist num_bytes: 2866732.0 num_examples: 100 - name: artist num_bytes: 3635205.0 num_examples: 100 - name: office_worker num_bytes: 3280329.0 num_examples: 100 - name: ceo num_bytes: 2772737.0 num_examples: 100 - name: taxi_driver num_bytes: 4501534.0 num_examples: 100 - name: librarian num_bytes: 4050948.0 num_examples: 100 - name: author num_bytes: 3987201.0 num_examples: 100 - name: plumber num_bytes: 3750790.0 num_examples: 100 - name: construction_worker num_bytes: 3748678.0 num_examples: 100 - name: clergy num_bytes: 3187537.0 num_examples: 100 - name: electrician num_bytes: 4154537.0 num_examples: 100 - name: jailer num_bytes: 4463218.0 num_examples: 100 - name: credit_counselor num_bytes: 2903663.0 num_examples: 100 - name: scientist num_bytes: 3297142.0 num_examples: 100 - name: drywall_installer num_bytes: 2991628.0 num_examples: 100 - name: school_bus_driver num_bytes: 4487490.0 num_examples: 100 - name: dental_assistant num_bytes: 2860282.0 num_examples: 100 - name: fitness_instructor num_bytes: 3186729.0 num_examples: 100 - name: detective num_bytes: 3104354.0 num_examples: 100 - name: hairdresser num_bytes: 3120111.0 num_examples: 100 - name: welder num_bytes: 4898829.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4048371.0 num_examples: 100 - name: compliance_officer num_bytes: 3076215.0 num_examples: 100 - name: singer num_bytes: 3402887.0 num_examples: 100 - name: tutor num_bytes: 3335427.0 num_examples: 100 - name: language_pathologist num_bytes: 3531947.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3402595.0 num_examples: 100 - name: sales_manager num_bytes: 2778773.0 num_examples: 100 - name: industrial_engineer num_bytes: 3860576.0 num_examples: 100 - name: manager num_bytes: 2854291.0 num_examples: 100 - name: mechanic num_bytes: 3892237.0 num_examples: 100 - name: postal_worker num_bytes: 3592160.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 3679183.0 num_examples: 100 - name: salesperson num_bytes: 2889078.0 num_examples: 100 - name: office_clerk num_bytes: 3373481.0 num_examples: 100 - name: claims_appraiser num_bytes: 3704592.0 num_examples: 100 - name: security_guard num_bytes: 3323422.0 num_examples: 100 - name: interviewer num_bytes: 2894459.0 num_examples: 100 - name: dispatcher num_bytes: 4119571.0 num_examples: 100 - name: lawyer num_bytes: 3176816.0 num_examples: 100 - name: marketing_manager num_bytes: 2967745.0 num_examples: 100 - name: customer_service_representative num_bytes: 3121828.0 num_examples: 100 - name: software_developer num_bytes: 2904569.0 num_examples: 100 - name: mover num_bytes: 3444279.0 num_examples: 100 - name: supervisor num_bytes: 3114846.0 num_examples: 100 - name: paralegal num_bytes: 3053572.0 num_examples: 100 - name: graphic_designer num_bytes: 3804559.0 num_examples: 100 - name: dentist num_bytes: 2852736.0 num_examples: 100 - name: roofer num_bytes: 4525331.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3024488.0 num_examples: 100 - name: engineer num_bytes: 3505002.0 num_examples: 100 - name: occupational_therapist num_bytes: 2997675.0 num_examples: 100 - name: manicurist num_bytes: 2875178.0 num_examples: 100 - name: cleaner num_bytes: 3026534.0 num_examples: 100 - name: facilities_manager num_bytes: 3251426.0 num_examples: 100 - name: repair_worker num_bytes: 3730984.0 num_examples: 100 - name: cashier num_bytes: 3702937.0 num_examples: 100 - name: baker num_bytes: 3482248.0 num_examples: 100 - name: market_research_analyst num_bytes: 3831059.0 num_examples: 100 - name: health_technician num_bytes: 3186106.0 num_examples: 100 - name: veterinarian num_bytes: 3100940.0 num_examples: 100 - name: underwriter num_bytes: 2943651.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4278621.0 num_examples: 100 - name: janitor num_bytes: 3456639.0 num_examples: 100 - name: pilot num_bytes: 3702556.0 num_examples: 100 - name: therapist num_bytes: 2950265.0 num_examples: 100 - name: director num_bytes: 2977288.0 num_examples: 100 - name: wholesale_buyer num_bytes: 4168831.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 3967576.0 num_examples: 100 - name: butcher num_bytes: 4393386.0 num_examples: 100 - name: machinery_mechanic num_bytes: 4423140.0 num_examples: 100 - name: event_planner num_bytes: 3341445.0 num_examples: 100 - name: carpet_installer num_bytes: 4220710.0 num_examples: 100 - name: musician num_bytes: 3610371.0 num_examples: 100 - name: civil_engineer num_bytes: 3561364.0 num_examples: 100 - name: farmer num_bytes: 4330463.0 num_examples: 100 - name: financial_manager num_bytes: 2898424.0 num_examples: 100 - name: childcare_worker num_bytes: 3421546.0 num_examples: 100 - name: clerk num_bytes: 3215643.0 num_examples: 100 - name: machinist num_bytes: 4108935.0 num_examples: 100 - name: firefighter num_bytes: 4059114.0 num_examples: 100 - name: photographer num_bytes: 3206033.0 num_examples: 100 - name: file_clerk num_bytes: 3940552.0 num_examples: 100 - name: bus_driver num_bytes: 4138995.0 num_examples: 100 - name: fast_food_worker num_bytes: 3680999.0 num_examples: 100 - name: bartender num_bytes: 4143942.0 num_examples: 100 - name: computer_programmer num_bytes: 3666082.0 num_examples: 100 - name: pharmacist num_bytes: 3786996.0 num_examples: 100 - name: nursing_assistant num_bytes: 3004957.0 num_examples: 100 - name: career_counselor num_bytes: 3276618.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3051254.0 num_examples: 100 - name: network_administrator num_bytes: 4227732.0 num_examples: 100 - name: teacher num_bytes: 3177864.0 num_examples: 100 - name: dishwasher num_bytes: 4978622.0 num_examples: 100 - name: teller num_bytes: 3018467.0 num_examples: 100 - name: teaching_assistant num_bytes: 3144416.0 num_examples: 100 - name: payroll_clerk num_bytes: 3157765.0 num_examples: 100 - name: laboratory_technician num_bytes: 3673896.0 num_examples: 100 - name: social_assistant num_bytes: 3152726.0 num_examples: 100 - name: radiologic_technician num_bytes: 3559946.0 num_examples: 100 - name: social_worker num_bytes: 3433765.0 num_examples: 100 - name: nurse num_bytes: 2974989.0 num_examples: 100 - name: receptionist num_bytes: 2905913.0 num_examples: 100 - name: carpenter num_bytes: 4171511.0 num_examples: 100 - name: correctional_officer num_bytes: 3409309.0 num_examples: 100 - name: community_manager num_bytes: 3286300.0 num_examples: 100 - name: massage_therapist num_bytes: 2784826.0 num_examples: 100 - name: head_cook num_bytes: 3550315.0 num_examples: 100 - name: plane_mechanic num_bytes: 3976019.0 num_examples: 100 download_size: 538604644 dataset_size: 514762151.0 --- # Dataset Card for "prof_images_blip__SG161222-Realistic_Vision_V1.4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)