--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 4223382.0 num_examples: 100 - name: aide num_bytes: 3433436.0 num_examples: 100 - name: police_officer num_bytes: 3525854.0 num_examples: 100 - name: purchasing_agent num_bytes: 3853558.0 num_examples: 100 - name: metal_worker num_bytes: 4799343.0 num_examples: 100 - name: financial_analyst num_bytes: 3427250.0 num_examples: 100 - name: stocker num_bytes: 4196338.0 num_examples: 100 - name: it_specialist num_bytes: 3932067.0 num_examples: 100 - name: writer num_bytes: 4364139.0 num_examples: 100 - name: accountant num_bytes: 3582911.0 num_examples: 100 - name: coach num_bytes: 4085092.0 num_examples: 100 - name: painter num_bytes: 4180812.0 num_examples: 100 - name: real_estate_broker num_bytes: 3778436.0 num_examples: 100 - name: truck_driver num_bytes: 5016403.0 num_examples: 100 - name: data_entry_keyer num_bytes: 3879131.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3626865.0 num_examples: 100 - name: cook num_bytes: 4055023.0 num_examples: 100 - name: interior_designer num_bytes: 4326260.0 num_examples: 100 - name: nutritionist num_bytes: 4123957.0 num_examples: 100 - name: designer num_bytes: 3688209.0 num_examples: 100 - name: maid num_bytes: 3518915.0 num_examples: 100 - name: producer num_bytes: 3857112.0 num_examples: 100 - name: executive_assistant num_bytes: 3321250.0 num_examples: 100 - name: logistician num_bytes: 4520499.0 num_examples: 100 - name: tractor_operator num_bytes: 6125566.0 num_examples: 100 - name: doctor num_bytes: 3440088.0 num_examples: 100 - name: inventory_clerk num_bytes: 3948128.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4443129.0 num_examples: 100 - name: groundskeeper num_bytes: 5435847.0 num_examples: 100 - name: electrical_engineer num_bytes: 4994607.0 num_examples: 100 - name: physical_therapist num_bytes: 3206339.0 num_examples: 100 - name: insurance_agent num_bytes: 3367274.0 num_examples: 100 - name: aerospace_engineer num_bytes: 4681972.0 num_examples: 100 - name: psychologist num_bytes: 3487036.0 num_examples: 100 - name: financial_advisor num_bytes: 3418036.0 num_examples: 100 - name: printing_press_operator num_bytes: 5060501.0 num_examples: 100 - name: architect num_bytes: 3533612.0 num_examples: 100 - name: dental_hygienist num_bytes: 3216616.0 num_examples: 100 - name: artist num_bytes: 4019863.0 num_examples: 100 - name: office_worker num_bytes: 3472017.0 num_examples: 100 - name: ceo num_bytes: 2951520.0 num_examples: 90 - name: taxi_driver num_bytes: 4491587.0 num_examples: 100 - name: librarian num_bytes: 4669898.0 num_examples: 100 - name: author num_bytes: 4222808.0 num_examples: 100 - name: plumber num_bytes: 4166543.0 num_examples: 100 - name: construction_worker num_bytes: 4305112.0 num_examples: 100 - name: clergy num_bytes: 3909254.0 num_examples: 100 - name: electrician num_bytes: 4539802.0 num_examples: 100 - name: jailer num_bytes: 4794739.0 num_examples: 100 - name: credit_counselor num_bytes: 3727117.0 num_examples: 100 - name: scientist num_bytes: 3748747.0 num_examples: 100 - name: drywall_installer num_bytes: 3639544.0 num_examples: 100 - name: school_bus_driver num_bytes: 5024883.0 num_examples: 100 - name: dental_assistant num_bytes: 3134602.0 num_examples: 100 - name: fitness_instructor num_bytes: 4086103.0 num_examples: 100 - name: detective num_bytes: 3405199.0 num_examples: 100 - name: hairdresser num_bytes: 3614267.0 num_examples: 100 - name: welder num_bytes: 5116883.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4157590.0 num_examples: 100 - name: compliance_officer num_bytes: 3341768.0 num_examples: 100 - name: singer num_bytes: 3926050.0 num_examples: 100 - name: tutor num_bytes: 4139784.0 num_examples: 100 - name: language_pathologist num_bytes: 4480780.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3523919.0 num_examples: 100 - name: sales_manager num_bytes: 3305028.0 num_examples: 100 - name: industrial_engineer num_bytes: 4500265.0 num_examples: 100 - name: manager num_bytes: 3416377.0 num_examples: 100 - name: mechanic num_bytes: 4165103.0 num_examples: 100 - name: postal_worker num_bytes: 3991746.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 3862166.0 num_examples: 100 - name: salesperson num_bytes: 3287096.0 num_examples: 100 - name: office_clerk num_bytes: 3484338.0 num_examples: 100 - name: claims_appraiser num_bytes: 4143621.0 num_examples: 100 - name: security_guard num_bytes: 3788966.0 num_examples: 100 - name: interviewer num_bytes: 3221256.0 num_examples: 100 - name: dispatcher num_bytes: 4046315.0 num_examples: 100 - name: lawyer num_bytes: 3724170.0 num_examples: 100 - name: marketing_manager num_bytes: 3760960.0 num_examples: 100 - name: customer_service_representative num_bytes: 3445713.0 num_examples: 100 - name: software_developer num_bytes: 3854723.0 num_examples: 100 - name: mover num_bytes: 4134343.0 num_examples: 100 - name: supervisor num_bytes: 3839990.0 num_examples: 100 - name: paralegal num_bytes: 3644121.0 num_examples: 100 - name: graphic_designer num_bytes: 4331143.0 num_examples: 100 - name: dentist num_bytes: 3266581.0 num_examples: 100 - name: roofer num_bytes: 5328174.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3717474.0 num_examples: 100 - name: engineer num_bytes: 4093722.0 num_examples: 100 - name: occupational_therapist num_bytes: 3845020.0 num_examples: 100 - name: manicurist num_bytes: 3359470.0 num_examples: 100 - name: cleaner num_bytes: 3846733.0 num_examples: 100 - name: facilities_manager num_bytes: 3510058.0 num_examples: 100 - name: repair_worker num_bytes: 4419983.0 num_examples: 100 - name: cashier num_bytes: 4066465.0 num_examples: 100 - name: baker num_bytes: 3756783.0 num_examples: 90 - name: market_research_analyst num_bytes: 4137130.0 num_examples: 100 - name: health_technician num_bytes: 3260508.0 num_examples: 100 - name: veterinarian num_bytes: 3624095.0 num_examples: 100 - name: underwriter num_bytes: 3509747.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4930003.0 num_examples: 100 - name: janitor num_bytes: 4004420.0 num_examples: 100 - name: pilot num_bytes: 3726866.0 num_examples: 100 - name: therapist num_bytes: 3719594.0 num_examples: 100 - name: director num_bytes: 3463707.0 num_examples: 100 - name: wholesale_buyer num_bytes: 4942979.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4521291.0 num_examples: 100 - name: butcher num_bytes: 4680805.0 num_examples: 100 - name: machinery_mechanic num_bytes: 4989941.0 num_examples: 100 - name: event_planner num_bytes: 4181365.0 num_examples: 100 - name: carpet_installer num_bytes: 5150830.0 num_examples: 100 - name: musician num_bytes: 4124108.0 num_examples: 100 - name: civil_engineer num_bytes: 4513149.0 num_examples: 100 - name: farmer num_bytes: 5721441.0 num_examples: 100 - name: financial_manager num_bytes: 3374624.0 num_examples: 100 - name: childcare_worker num_bytes: 4097057.0 num_examples: 100 - name: clerk num_bytes: 3780094.0 num_examples: 100 - name: machinist num_bytes: 4583452.0 num_examples: 100 - name: firefighter num_bytes: 4457533.0 num_examples: 100 - name: photographer num_bytes: 4110260.0 num_examples: 100 - name: file_clerk num_bytes: 4401860.0 num_examples: 100 - name: bus_driver num_bytes: 4737548.0 num_examples: 100 - name: fast_food_worker num_bytes: 3939218.0 num_examples: 100 - name: bartender num_bytes: 4621090.0 num_examples: 100 - name: computer_programmer num_bytes: 3730954.0 num_examples: 100 - name: pharmacist num_bytes: 4305414.0 num_examples: 100 - name: nursing_assistant num_bytes: 3248194.0 num_examples: 100 - name: career_counselor num_bytes: 3656420.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3548168.0 num_examples: 100 - name: network_administrator num_bytes: 4417771.0 num_examples: 100 - name: teacher num_bytes: 3958884.0 num_examples: 100 - name: dishwasher num_bytes: 5511691.0 num_examples: 100 - name: teller num_bytes: 3582169.0 num_examples: 100 - name: teaching_assistant num_bytes: 4022541.0 num_examples: 100 - name: payroll_clerk num_bytes: 3401694.0 num_examples: 100 - name: laboratory_technician num_bytes: 3639997.0 num_examples: 100 - name: social_assistant num_bytes: 3970721.0 num_examples: 100 - name: radiologic_technician num_bytes: 3331186.0 num_examples: 100 - name: social_worker num_bytes: 4215871.0 num_examples: 100 - name: nurse num_bytes: 3397043.0 num_examples: 100 - name: receptionist num_bytes: 3274844.0 num_examples: 100 - name: carpenter num_bytes: 4641218.0 num_examples: 100 - name: correctional_officer num_bytes: 3715116.0 num_examples: 100 - name: community_manager num_bytes: 4068697.0 num_examples: 100 - name: massage_therapist num_bytes: 3257536.0 num_examples: 100 - name: head_cook num_bytes: 4083876.0 num_examples: 100 - name: plane_mechanic num_bytes: 4092378.0 num_examples: 100 download_size: 609647639 dataset_size: 585820373.0 --- # Dataset Card for "prof_images_blip__CompVis-stable-diffusion-v1-4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)