--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 3774069.0 num_examples: 100 - name: aide num_bytes: 3686691.0 num_examples: 100 - name: police_officer num_bytes: 3716514.0 num_examples: 100 - name: purchasing_agent num_bytes: 3374948.0 num_examples: 100 - name: metal_worker num_bytes: 4585929.0 num_examples: 100 - name: financial_analyst num_bytes: 3272085.0 num_examples: 100 - name: stocker num_bytes: 4284000.0 num_examples: 100 - name: it_specialist num_bytes: 3445262.0 num_examples: 100 - name: writer num_bytes: 4338105.0 num_examples: 100 - name: accountant num_bytes: 3273259.0 num_examples: 100 - name: coach num_bytes: 4333295.0 num_examples: 100 - name: painter num_bytes: 4207207.0 num_examples: 100 - name: real_estate_broker num_bytes: 3744904.0 num_examples: 100 - name: truck_driver num_bytes: 4744401.0 num_examples: 100 - name: data_entry_keyer num_bytes: 4750907.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3220896.0 num_examples: 100 - name: cook num_bytes: 3507117.0 num_examples: 100 - name: interior_designer num_bytes: 3385993.0 num_examples: 100 - name: nutritionist num_bytes: 4499939.0 num_examples: 100 - name: designer num_bytes: 3262956.0 num_examples: 100 - name: maid num_bytes: 3688106.0 num_examples: 100 - name: producer num_bytes: 3855517.0 num_examples: 100 - name: executive_assistant num_bytes: 2956660.0 num_examples: 100 - name: logistician num_bytes: 3785521.0 num_examples: 100 - name: tractor_operator num_bytes: 6024318.0 num_examples: 100 - name: doctor num_bytes: 3241492.0 num_examples: 100 - name: inventory_clerk num_bytes: 3888705.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4317010.0 num_examples: 100 - name: groundskeeper num_bytes: 5131469.0 num_examples: 100 - name: electrical_engineer num_bytes: 4010184.0 num_examples: 100 - name: physical_therapist num_bytes: 3392181.0 num_examples: 100 - name: insurance_agent num_bytes: 3757883.0 num_examples: 100 - name: aerospace_engineer num_bytes: 3796254.0 num_examples: 100 - name: psychologist num_bytes: 3300681.0 num_examples: 100 - name: financial_advisor num_bytes: 3319034.0 num_examples: 100 - name: printing_press_operator num_bytes: 4371701.0 num_examples: 100 - name: architect num_bytes: 3624303.0 num_examples: 100 - name: dental_hygienist num_bytes: 3037225.0 num_examples: 100 - name: artist num_bytes: 4038195.0 num_examples: 100 - name: office_worker num_bytes: 3343369.0 num_examples: 100 - name: ceo num_bytes: 3035277.0 num_examples: 100 - name: taxi_driver num_bytes: 4532619.0 num_examples: 100 - name: librarian num_bytes: 3934373.0 num_examples: 100 - name: author num_bytes: 4016508.0 num_examples: 100 - name: plumber num_bytes: 3932891.0 num_examples: 100 - name: construction_worker num_bytes: 4155510.0 num_examples: 100 - name: clergy num_bytes: 3781283.0 num_examples: 100 - name: electrician num_bytes: 3783505.0 num_examples: 100 - name: jailer num_bytes: 4507427.0 num_examples: 100 - name: credit_counselor num_bytes: 3505147.0 num_examples: 100 - name: scientist num_bytes: 4046533.0 num_examples: 100 - name: drywall_installer num_bytes: 3478727.0 num_examples: 100 - name: school_bus_driver num_bytes: 4890236.0 num_examples: 100 - name: dental_assistant num_bytes: 2813410.0 num_examples: 100 - name: fitness_instructor num_bytes: 3996469.0 num_examples: 100 - name: detective num_bytes: 3422063.0 num_examples: 100 - name: hairdresser num_bytes: 3241014.0 num_examples: 100 - name: welder num_bytes: 4677109.0 num_examples: 100 - name: pharmacy_technician num_bytes: 3700405.0 num_examples: 100 - name: compliance_officer num_bytes: 3414977.0 num_examples: 100 - name: singer num_bytes: 3802503.0 num_examples: 100 - name: tutor num_bytes: 4062542.0 num_examples: 100 - name: language_pathologist num_bytes: 3758118.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3271985.0 num_examples: 100 - name: sales_manager num_bytes: 3205314.0 num_examples: 100 - name: industrial_engineer num_bytes: 3971207.0 num_examples: 100 - name: manager num_bytes: 3358224.0 num_examples: 100 - name: mechanic num_bytes: 4067397.0 num_examples: 100 - name: postal_worker num_bytes: 4003288.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 3539024.0 num_examples: 100 - name: salesperson num_bytes: 3346595.0 num_examples: 100 - name: office_clerk num_bytes: 3274748.0 num_examples: 100 - name: claims_appraiser num_bytes: 5004316.0 num_examples: 100 - name: security_guard num_bytes: 3794770.0 num_examples: 100 - name: interviewer num_bytes: 3636369.0 num_examples: 100 - name: dispatcher num_bytes: 3294510.0 num_examples: 100 - name: lawyer num_bytes: 3196550.0 num_examples: 100 - name: marketing_manager num_bytes: 3365180.0 num_examples: 100 - name: customer_service_representative num_bytes: 3223272.0 num_examples: 100 - name: software_developer num_bytes: 3333651.0 num_examples: 100 - name: mover num_bytes: 4537574.0 num_examples: 100 - name: supervisor num_bytes: 3841058.0 num_examples: 100 - name: paralegal num_bytes: 3439628.0 num_examples: 100 - name: graphic_designer num_bytes: 4234804.0 num_examples: 100 - name: dentist num_bytes: 3106897.0 num_examples: 100 - name: roofer num_bytes: 4839179.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3214669.0 num_examples: 100 - name: engineer num_bytes: 3775481.0 num_examples: 100 - name: occupational_therapist num_bytes: 3611377.0 num_examples: 100 - name: manicurist num_bytes: 3099482.0 num_examples: 100 - name: cleaner num_bytes: 4053227.0 num_examples: 100 - name: facilities_manager num_bytes: 3761193.0 num_examples: 100 - name: repair_worker num_bytes: 4110405.0 num_examples: 100 - name: cashier num_bytes: 3631158.0 num_examples: 100 - name: baker num_bytes: 3700422.0 num_examples: 100 - name: market_research_analyst num_bytes: 3859395.0 num_examples: 100 - name: health_technician num_bytes: 3182780.0 num_examples: 100 - name: veterinarian num_bytes: 3550905.0 num_examples: 100 - name: underwriter num_bytes: 3576463.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4339495.0 num_examples: 100 - name: janitor num_bytes: 3784680.0 num_examples: 100 - name: pilot num_bytes: 3669754.0 num_examples: 100 - name: therapist num_bytes: 3484772.0 num_examples: 100 - name: director num_bytes: 3533829.0 num_examples: 100 - name: wholesale_buyer num_bytes: 4629384.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4619514.0 num_examples: 100 - name: butcher num_bytes: 4624676.0 num_examples: 100 - name: machinery_mechanic num_bytes: 4698277.0 num_examples: 100 - name: event_planner num_bytes: 4148009.0 num_examples: 100 - name: carpet_installer num_bytes: 4831490.0 num_examples: 100 - name: musician num_bytes: 3852103.0 num_examples: 100 - name: civil_engineer num_bytes: 4235637.0 num_examples: 100 - name: farmer num_bytes: 5696634.0 num_examples: 100 - name: financial_manager num_bytes: 2996790.0 num_examples: 100 - name: childcare_worker num_bytes: 4586909.0 num_examples: 100 - name: clerk num_bytes: 3629737.0 num_examples: 100 - name: machinist num_bytes: 3743309.0 num_examples: 100 - name: firefighter num_bytes: 4238724.0 num_examples: 100 - name: photographer num_bytes: 4709558.0 num_examples: 100 - name: file_clerk num_bytes: 4227425.0 num_examples: 100 - name: bus_driver num_bytes: 4414556.0 num_examples: 100 - name: fast_food_worker num_bytes: 3558196.0 num_examples: 100 - name: bartender num_bytes: 4220859.0 num_examples: 100 - name: computer_programmer num_bytes: 3728830.0 num_examples: 100 - name: pharmacist num_bytes: 3708399.0 num_examples: 100 - name: nursing_assistant num_bytes: 3099367.0 num_examples: 100 - name: career_counselor num_bytes: 3393143.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3215113.0 num_examples: 100 - name: network_administrator num_bytes: 3856159.0 num_examples: 100 - name: teacher num_bytes: 4085339.0 num_examples: 100 - name: dishwasher num_bytes: 4261050.0 num_examples: 100 - name: teller num_bytes: 3322494.0 num_examples: 100 - name: teaching_assistant num_bytes: 3491372.0 num_examples: 100 - name: payroll_clerk num_bytes: 3263271.0 num_examples: 100 - name: laboratory_technician num_bytes: 3271155.0 num_examples: 100 - name: social_assistant num_bytes: 3774971.0 num_examples: 100 - name: radiologic_technician num_bytes: 3021348.0 num_examples: 100 - name: social_worker num_bytes: 4232132.0 num_examples: 100 - name: nurse num_bytes: 3272832.0 num_examples: 100 - name: receptionist num_bytes: 3134671.0 num_examples: 100 - name: carpenter num_bytes: 4402559.0 num_examples: 100 - name: correctional_officer num_bytes: 3789430.0 num_examples: 100 - name: community_manager num_bytes: 3756220.0 num_examples: 100 - name: massage_therapist num_bytes: 2980706.0 num_examples: 100 - name: head_cook num_bytes: 3919248.0 num_examples: 100 - name: plane_mechanic num_bytes: 3715118.0 num_examples: 100 download_size: 581741855 dataset_size: 557958672.0 --- # Dataset Card for "prof_images_blip__wavymulder-Analog-Diffusion" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)