--- dataset_info: features: - name: cluster_id dtype: int64 - name: cluster_size dtype: int64 - name: img_ids sequence: int64 - name: img_cluster_scores sequence: float64 splits: - name: accountant num_bytes: 1864 num_examples: 11 - name: aerospace_engineer num_bytes: 1888 num_examples: 12 - name: aide num_bytes: 2008 num_examples: 17 - name: air_conditioning_installer num_bytes: 1696 num_examples: 4 - name: architect num_bytes: 1864 num_examples: 11 - name: artist num_bytes: 1840 num_examples: 10 - name: author num_bytes: 1792 num_examples: 8 - name: baker num_bytes: 1888 num_examples: 12 - name: bartender num_bytes: 1888 num_examples: 12 - name: bus_driver num_bytes: 1912 num_examples: 13 - name: butcher num_bytes: 1792 num_examples: 8 - name: career_counselor num_bytes: 1816 num_examples: 9 - name: carpenter num_bytes: 1720 num_examples: 5 - name: carpet_installer num_bytes: 1720 num_examples: 5 - name: cashier num_bytes: 1792 num_examples: 8 - name: ceo num_bytes: 1888 num_examples: 12 - name: childcare_worker num_bytes: 1864 num_examples: 11 - name: civil_engineer num_bytes: 1840 num_examples: 10 - name: claims_appraiser num_bytes: 1720 num_examples: 5 - name: cleaner num_bytes: 1864 num_examples: 11 - name: clergy num_bytes: 1936 num_examples: 14 - name: clerk num_bytes: 2104 num_examples: 21 - name: coach num_bytes: 1840 num_examples: 10 - name: community_manager num_bytes: 1840 num_examples: 10 - name: compliance_officer num_bytes: 1912 num_examples: 13 - name: computer_programmer num_bytes: 1840 num_examples: 10 - name: computer_support_specialist num_bytes: 1888 num_examples: 12 - name: computer_systems_analyst num_bytes: 1840 num_examples: 10 - name: construction_worker num_bytes: 1744 num_examples: 6 - name: cook num_bytes: 1864 num_examples: 11 - name: correctional_officer num_bytes: 1816 num_examples: 9 - name: courier num_bytes: 1960 num_examples: 15 - name: credit_counselor num_bytes: 1816 num_examples: 9 - name: customer_service_representative num_bytes: 1768 num_examples: 7 - name: data_entry_keyer num_bytes: 1840 num_examples: 10 - name: dental_assistant num_bytes: 1720 num_examples: 5 - name: dental_hygienist num_bytes: 1768 num_examples: 7 - name: dentist num_bytes: 1864 num_examples: 11 - name: designer num_bytes: 1840 num_examples: 10 - name: detective num_bytes: 1912 num_examples: 13 - name: director num_bytes: 1864 num_examples: 11 - name: dishwasher num_bytes: 1936 num_examples: 14 - name: dispatcher num_bytes: 1864 num_examples: 11 - name: doctor num_bytes: 1912 num_examples: 13 - name: drywall_installer num_bytes: 1696 num_examples: 4 - name: electrical_engineer num_bytes: 1888 num_examples: 12 - name: electrician num_bytes: 1768 num_examples: 7 - name: engineer num_bytes: 1840 num_examples: 10 - name: event_planner num_bytes: 1720 num_examples: 5 - name: executive_assistant num_bytes: 1792 num_examples: 8 - name: facilities_manager num_bytes: 1840 num_examples: 10 - name: farmer num_bytes: 1792 num_examples: 8 - name: fast_food_worker num_bytes: 1912 num_examples: 13 - name: file_clerk num_bytes: 1912 num_examples: 13 - name: financial_advisor num_bytes: 1720 num_examples: 5 - name: financial_analyst num_bytes: 1840 num_examples: 10 - name: financial_manager num_bytes: 1864 num_examples: 11 - name: firefighter num_bytes: 1720 num_examples: 5 - name: fitness_instructor num_bytes: 1792 num_examples: 8 - name: graphic_designer num_bytes: 1840 num_examples: 10 - name: groundskeeper num_bytes: 1720 num_examples: 5 - name: hairdresser num_bytes: 1864 num_examples: 11 - name: head_cook num_bytes: 1816 num_examples: 9 - name: health_technician num_bytes: 1888 num_examples: 12 - name: industrial_engineer num_bytes: 1792 num_examples: 8 - name: insurance_agent num_bytes: 1912 num_examples: 13 - name: interior_designer num_bytes: 1792 num_examples: 8 - name: interviewer num_bytes: 1888 num_examples: 12 - name: inventory_clerk num_bytes: 1936 num_examples: 14 - name: it_specialist num_bytes: 1720 num_examples: 5 - name: jailer num_bytes: 1912 num_examples: 13 - name: janitor num_bytes: 1912 num_examples: 13 - name: laboratory_technician num_bytes: 1936 num_examples: 14 - name: language_pathologist num_bytes: 1888 num_examples: 12 - name: lawyer num_bytes: 1912 num_examples: 13 - name: librarian num_bytes: 1792 num_examples: 8 - name: logistician num_bytes: 1912 num_examples: 13 - name: machinery_mechanic num_bytes: 1720 num_examples: 5 - name: machinist num_bytes: 1816 num_examples: 9 - name: maid num_bytes: 1912 num_examples: 13 - name: manager num_bytes: 1888 num_examples: 12 - name: manicurist num_bytes: 1840 num_examples: 10 - name: market_research_analyst num_bytes: 1816 num_examples: 9 - name: marketing_manager num_bytes: 1816 num_examples: 9 - name: massage_therapist num_bytes: 1816 num_examples: 9 - name: mechanic num_bytes: 1816 num_examples: 9 - name: mechanical_engineer num_bytes: 1840 num_examples: 10 - name: medical_records_specialist num_bytes: 1840 num_examples: 10 - name: mental_health_counselor num_bytes: 1816 num_examples: 9 - name: metal_worker num_bytes: 1792 num_examples: 8 - name: mover num_bytes: 1936 num_examples: 14 - name: musician num_bytes: 1960 num_examples: 15 - name: network_administrator num_bytes: 1696 num_examples: 4 - name: nurse num_bytes: 1840 num_examples: 10 - name: nursing_assistant num_bytes: 1768 num_examples: 7 - name: nutritionist num_bytes: 1720 num_examples: 5 - name: occupational_therapist num_bytes: 1840 num_examples: 10 - name: office_clerk num_bytes: 1888 num_examples: 12 - name: office_worker num_bytes: 1840 num_examples: 10 - name: painter num_bytes: 1888 num_examples: 12 - name: paralegal num_bytes: 1936 num_examples: 14 - name: payroll_clerk num_bytes: 1864 num_examples: 11 - name: pharmacist num_bytes: 1864 num_examples: 11 - name: pharmacy_technician num_bytes: 1744 num_examples: 6 - name: photographer num_bytes: 1936 num_examples: 14 - name: physical_therapist num_bytes: 1840 num_examples: 10 - name: pilot num_bytes: 1960 num_examples: 15 - name: plane_mechanic num_bytes: 1840 num_examples: 10 - name: plumber num_bytes: 1768 num_examples: 7 - name: police_officer num_bytes: 1792 num_examples: 8 - name: postal_worker num_bytes: 1936 num_examples: 14 - name: printing_press_operator num_bytes: 1888 num_examples: 12 - name: producer num_bytes: 1888 num_examples: 12 - name: psychologist num_bytes: 1864 num_examples: 11 - name: public_relations_specialist num_bytes: 1792 num_examples: 8 - name: purchasing_agent num_bytes: 1936 num_examples: 14 - name: radiologic_technician num_bytes: 1888 num_examples: 12 - name: real_estate_broker num_bytes: 1744 num_examples: 6 - name: receptionist num_bytes: 1720 num_examples: 5 - name: repair_worker num_bytes: 1816 num_examples: 9 - name: roofer num_bytes: 1744 num_examples: 6 - name: sales_manager num_bytes: 1768 num_examples: 7 - name: salesperson num_bytes: 1840 num_examples: 10 - name: school_bus_driver num_bytes: 1984 num_examples: 16 - name: scientist num_bytes: 1912 num_examples: 13 - name: security_guard num_bytes: 1720 num_examples: 5 - name: sheet_metal_worker num_bytes: 1792 num_examples: 8 - name: singer num_bytes: 1912 num_examples: 13 - name: social_assistant num_bytes: 2008 num_examples: 17 - name: social_worker num_bytes: 1912 num_examples: 13 - name: software_developer num_bytes: 1768 num_examples: 7 - name: stocker num_bytes: 1912 num_examples: 13 - name: supervisor num_bytes: 1936 num_examples: 14 - name: taxi_driver num_bytes: 1864 num_examples: 11 - name: teacher num_bytes: 2032 num_examples: 18 - name: teaching_assistant num_bytes: 1840 num_examples: 10 - name: teller num_bytes: 1960 num_examples: 15 - name: therapist num_bytes: 1816 num_examples: 9 - name: tractor_operator num_bytes: 1744 num_examples: 6 - name: truck_driver num_bytes: 1792 num_examples: 8 - name: tutor num_bytes: 1936 num_examples: 14 - name: underwriter num_bytes: 1840 num_examples: 10 - name: veterinarian num_bytes: 1792 num_examples: 8 - name: welder num_bytes: 1816 num_examples: 9 - name: wholesale_buyer num_bytes: 1840 num_examples: 10 - name: writer num_bytes: 1888 num_examples: 12 download_size: 638852 dataset_size: 269360 --- # Dataset Card for "prof_report__wavymulder-Analog-Diffusion__multi__24" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)