--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 4257204.0 num_examples: 100 - name: aide num_bytes: 3491678.0 num_examples: 100 - name: police_officer num_bytes: 4252502.0 num_examples: 100 - name: purchasing_agent num_bytes: 5285492.0 num_examples: 100 - name: metal_worker num_bytes: 5097159.0 num_examples: 100 - name: financial_analyst num_bytes: 5261660.0 num_examples: 100 - name: stocker num_bytes: 5700830.0 num_examples: 100 - name: it_specialist num_bytes: 5731031.0 num_examples: 100 - name: writer num_bytes: 4309299.0 num_examples: 100 - name: accountant num_bytes: 4689435.0 num_examples: 100 - name: coach num_bytes: 4537870.0 num_examples: 100 - name: painter num_bytes: 3686294.0 num_examples: 100 - name: real_estate_broker num_bytes: 5241610.0 num_examples: 100 - name: truck_driver num_bytes: 4955237.0 num_examples: 100 - name: data_entry_keyer num_bytes: 6112746.0 num_examples: 100 - name: computer_support_specialist num_bytes: 5187781.0 num_examples: 100 - name: cook num_bytes: 3905039.0 num_examples: 100 - name: interior_designer num_bytes: 4970044.0 num_examples: 100 - name: nutritionist num_bytes: 4904269.0 num_examples: 100 - name: designer num_bytes: 5618928.0 num_examples: 100 - name: maid num_bytes: 3653112.0 num_examples: 100 - name: producer num_bytes: 5532083.0 num_examples: 100 - name: executive_assistant num_bytes: 5181631.0 num_examples: 100 - name: logistician num_bytes: 5623819.0 num_examples: 100 - name: tractor_operator num_bytes: 5566239.0 num_examples: 100 - name: doctor num_bytes: 3922429.0 num_examples: 100 - name: inventory_clerk num_bytes: 5675119.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4932393.0 num_examples: 100 - name: groundskeeper num_bytes: 5624913.0 num_examples: 100 - name: electrical_engineer num_bytes: 5486843.0 num_examples: 100 - name: physical_therapist num_bytes: 4416383.0 num_examples: 100 - name: insurance_agent num_bytes: 4503029.0 num_examples: 100 - name: aerospace_engineer num_bytes: 5005814.0 num_examples: 100 - name: psychologist num_bytes: 4751138.0 num_examples: 100 - name: financial_advisor num_bytes: 4616805.0 num_examples: 100 - name: printing_press_operator num_bytes: 4885677.0 num_examples: 100 - name: architect num_bytes: 4694972.0 num_examples: 100 - name: dental_hygienist num_bytes: 4051984.0 num_examples: 100 - name: artist num_bytes: 4093686.0 num_examples: 100 - name: office_worker num_bytes: 4984173.0 num_examples: 100 - name: ceo num_bytes: 4753603.0 num_examples: 100 - name: taxi_driver num_bytes: 4839205.0 num_examples: 100 - name: librarian num_bytes: 5209270.0 num_examples: 100 - name: author num_bytes: 4326443.0 num_examples: 100 - name: plumber num_bytes: 5004142.0 num_examples: 100 - name: construction_worker num_bytes: 5173177.0 num_examples: 100 - name: clergy num_bytes: 3852512.0 num_examples: 100 - name: electrician num_bytes: 5239521.0 num_examples: 100 - name: jailer num_bytes: 5032189.0 num_examples: 100 - name: credit_counselor num_bytes: 4814481.0 num_examples: 100 - name: scientist num_bytes: 4363783.0 num_examples: 100 - name: drywall_installer num_bytes: 4174819.0 num_examples: 100 - name: school_bus_driver num_bytes: 4998022.0 num_examples: 100 - name: dental_assistant num_bytes: 4140296.0 num_examples: 100 - name: fitness_instructor num_bytes: 4416504.0 num_examples: 100 - name: detective num_bytes: 4583678.0 num_examples: 100 - name: hairdresser num_bytes: 4463307.0 num_examples: 100 - name: welder num_bytes: 4918374.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4661790.0 num_examples: 100 - name: compliance_officer num_bytes: 4845349.0 num_examples: 100 - name: singer num_bytes: 4638247.0 num_examples: 100 - name: tutor num_bytes: 3678185.0 num_examples: 100 - name: language_pathologist num_bytes: 5254361.0 num_examples: 100 - name: medical_records_specialist num_bytes: 5634506.0 num_examples: 100 - name: sales_manager num_bytes: 5056132.0 num_examples: 100 - name: industrial_engineer num_bytes: 5172786.0 num_examples: 100 - name: manager num_bytes: 4931846.0 num_examples: 100 - name: mechanic num_bytes: 4613784.0 num_examples: 100 - name: postal_worker num_bytes: 4441299.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 6079263.0 num_examples: 100 - name: salesperson num_bytes: 5024667.0 num_examples: 100 - name: office_clerk num_bytes: 4755914.0 num_examples: 100 - name: claims_appraiser num_bytes: 4478395.0 num_examples: 100 - name: security_guard num_bytes: 5230558.0 num_examples: 100 - name: interviewer num_bytes: 4656965.0 num_examples: 100 - name: dispatcher num_bytes: 5291584.0 num_examples: 100 - name: lawyer num_bytes: 4277664.0 num_examples: 100 - name: marketing_manager num_bytes: 5252505.0 num_examples: 100 - name: customer_service_representative num_bytes: 4896010.0 num_examples: 100 - name: software_developer num_bytes: 5547030.0 num_examples: 100 - name: mover num_bytes: 4568118.0 num_examples: 100 - name: supervisor num_bytes: 4923186.0 num_examples: 100 - name: paralegal num_bytes: 4687033.0 num_examples: 100 - name: graphic_designer num_bytes: 5759315.0 num_examples: 100 - name: dentist num_bytes: 3970331.0 num_examples: 100 - name: roofer num_bytes: 5495073.0 num_examples: 100 - name: public_relations_specialist num_bytes: 5073442.0 num_examples: 100 - name: engineer num_bytes: 4250666.0 num_examples: 100 - name: occupational_therapist num_bytes: 3855692.0 num_examples: 100 - name: manicurist num_bytes: 4064118.0 num_examples: 100 - name: cleaner num_bytes: 5095971.0 num_examples: 100 - name: facilities_manager num_bytes: 5247879.0 num_examples: 100 - name: repair_worker num_bytes: 5113432.0 num_examples: 100 - name: cashier num_bytes: 5215203.0 num_examples: 100 - name: baker num_bytes: 4610706.0 num_examples: 100 - name: market_research_analyst num_bytes: 5593811.0 num_examples: 100 - name: health_technician num_bytes: 4477836.0 num_examples: 100 - name: veterinarian num_bytes: 4197438.0 num_examples: 100 - name: underwriter num_bytes: 4662113.0 num_examples: 100 - name: mechanical_engineer num_bytes: 5722417.0 num_examples: 100 - name: janitor num_bytes: 5390408.0 num_examples: 100 - name: pilot num_bytes: 3829685.0 num_examples: 100 - name: therapist num_bytes: 3859109.0 num_examples: 100 - name: director num_bytes: 4096085.0 num_examples: 100 - name: wholesale_buyer num_bytes: 6300854.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 5741602.0 num_examples: 100 - name: butcher num_bytes: 5332426.0 num_examples: 100 - name: machinery_mechanic num_bytes: 5057875.0 num_examples: 100 - name: event_planner num_bytes: 5039870.0 num_examples: 100 - name: carpet_installer num_bytes: 5903738.0 num_examples: 100 - name: musician num_bytes: 4431405.0 num_examples: 100 - name: civil_engineer num_bytes: 5463535.0 num_examples: 100 - name: farmer num_bytes: 4772114.0 num_examples: 100 - name: financial_manager num_bytes: 5187071.0 num_examples: 100 - name: childcare_worker num_bytes: 4326077.0 num_examples: 100 - name: clerk num_bytes: 4268877.0 num_examples: 100 - name: machinist num_bytes: 4593820.0 num_examples: 100 - name: firefighter num_bytes: 4414229.0 num_examples: 100 - name: photographer num_bytes: 4056745.0 num_examples: 100 - name: file_clerk num_bytes: 5925494.0 num_examples: 100 - name: bus_driver num_bytes: 4714778.0 num_examples: 100 - name: fast_food_worker num_bytes: 4778503.0 num_examples: 100 - name: bartender num_bytes: 5407515.0 num_examples: 100 - name: computer_programmer num_bytes: 5961791.0 num_examples: 100 - name: pharmacist num_bytes: 5103862.0 num_examples: 100 - name: nursing_assistant num_bytes: 3969985.0 num_examples: 100 - name: career_counselor num_bytes: 4578703.0 num_examples: 100 - name: mental_health_counselor num_bytes: 4915411.0 num_examples: 100 - name: network_administrator num_bytes: 6576986.0 num_examples: 100 - name: teacher num_bytes: 4112341.0 num_examples: 100 - name: dishwasher num_bytes: 4582691.0 num_examples: 100 - name: teller num_bytes: 4580341.0 num_examples: 100 - name: teaching_assistant num_bytes: 4310141.0 num_examples: 100 - name: payroll_clerk num_bytes: 5104922.0 num_examples: 100 - name: laboratory_technician num_bytes: 4772940.0 num_examples: 100 - name: social_assistant num_bytes: 4975461.0 num_examples: 100 - name: radiologic_technician num_bytes: 4614401.0 num_examples: 100 - name: social_worker num_bytes: 4143912.0 num_examples: 100 - name: nurse num_bytes: 3251197.0 num_examples: 100 - name: receptionist num_bytes: 4962877.0 num_examples: 100 - name: carpenter num_bytes: 4367834.0 num_examples: 100 - name: correctional_officer num_bytes: 5027428.0 num_examples: 100 - name: community_manager num_bytes: 5327391.0 num_examples: 100 - name: massage_therapist num_bytes: 4309573.0 num_examples: 100 - name: head_cook num_bytes: 4488723.0 num_examples: 100 - name: plane_mechanic num_bytes: 4650683.0 num_examples: 100 download_size: 729196101 dataset_size: 705285705.0 --- # Dataset Card for "prof_images_blip__stabilityai-stable-diffusion-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)