--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 2531808.0 num_examples: 100 - name: aide num_bytes: 2679124.0 num_examples: 100 - name: financial_analyst num_bytes: 2813013.0 num_examples: 100 - name: it_specialist num_bytes: 4639358.0 num_examples: 100 - name: accountant num_bytes: 2896247.0 num_examples: 100 - name: coach num_bytes: 2882930.0 num_examples: 100 - name: data_entry_keyer num_bytes: 2818554.0 num_examples: 100 - name: computer_support_specialist num_bytes: 5378771.0 num_examples: 100 - name: cook num_bytes: 3905031.0 num_examples: 100 - name: interior_designer num_bytes: 3331210.0 num_examples: 100 - name: designer num_bytes: 2642954.0 num_examples: 100 - name: executive_assistant num_bytes: 2258462.0 num_examples: 100 - name: doctor num_bytes: 2518630.0 num_examples: 100 - name: inventory_clerk num_bytes: 3409472.0 num_examples: 100 - name: groundskeeper num_bytes: 2561060.0 num_examples: 100 - name: electrical_engineer num_bytes: 5135441.0 num_examples: 100 - name: insurance_agent num_bytes: 1620035.0 num_examples: 100 - name: aerospace_engineer num_bytes: 3775646.0 num_examples: 100 - name: financial_advisor num_bytes: 2101572.0 num_examples: 100 - name: architect num_bytes: 2260391.0 num_examples: 100 - name: dental_hygienist num_bytes: 2310714.0 num_examples: 100 - name: artist num_bytes: 2748513.0 num_examples: 100 - name: ceo num_bytes: 2000864.0 num_examples: 100 - name: author num_bytes: 3099107.0 num_examples: 100 - name: construction_worker num_bytes: 3129494.0 num_examples: 100 - name: clergy num_bytes: 1658981.0 num_examples: 100 - name: electrician num_bytes: 3902612.0 num_examples: 100 - name: jailer num_bytes: 2136768.0 num_examples: 100 - name: credit_counselor num_bytes: 2526314.0 num_examples: 100 - name: drywall_installer num_bytes: 2038117.0 num_examples: 100 - name: dental_assistant num_bytes: 2585938.0 num_examples: 100 - name: fitness_instructor num_bytes: 2716152.0 num_examples: 100 - name: detective num_bytes: 2062930.0 num_examples: 100 - name: hairdresser num_bytes: 2584556.0 num_examples: 100 - name: compliance_officer num_bytes: 2399239.0 num_examples: 100 - name: language_pathologist num_bytes: 1045161.0 num_examples: 60 - name: industrial_engineer num_bytes: 4357711.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 4291635.0 num_examples: 100 - name: claims_appraiser num_bytes: 3193770.0 num_examples: 100 - name: interviewer num_bytes: 2338306.0 num_examples: 100 - name: dispatcher num_bytes: 3374529.0 num_examples: 100 - name: customer_service_representative num_bytes: 3173934.0 num_examples: 100 - name: graphic_designer num_bytes: 3311895.0 num_examples: 100 - name: dentist num_bytes: 1605601.0 num_examples: 100 - name: engineer num_bytes: 3633439.0 num_examples: 100 - name: cleaner num_bytes: 1870345.0 num_examples: 100 - name: facilities_manager num_bytes: 2759902.0 num_examples: 100 - name: cashier num_bytes: 3452619.0 num_examples: 100 - name: baker num_bytes: 2784630.0 num_examples: 100 - name: health_technician num_bytes: 2738076.0 num_examples: 100 - name: janitor num_bytes: 1169693.0 num_examples: 100 - name: director num_bytes: 2243652.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4242936.0 num_examples: 100 - name: butcher num_bytes: 1952460.0 num_examples: 100 - name: event_planner num_bytes: 3210506.0 num_examples: 100 - name: carpet_installer num_bytes: 3013415.0 num_examples: 100 - name: civil_engineer num_bytes: 3693552.0 num_examples: 100 - name: farmer num_bytes: 3084247.0 num_examples: 100 - name: financial_manager num_bytes: 2364896.0 num_examples: 100 - name: childcare_worker num_bytes: 1268385.0 num_examples: 100 - name: clerk num_bytes: 2799459.0 num_examples: 100 - name: firefighter num_bytes: 3552905.0 num_examples: 100 - name: file_clerk num_bytes: 3642101.0 num_examples: 100 - name: bus_driver num_bytes: 3449795.0 num_examples: 100 - name: fast_food_worker num_bytes: 3737822.0 num_examples: 100 - name: bartender num_bytes: 3623120.0 num_examples: 100 - name: computer_programmer num_bytes: 4341304.0 num_examples: 100 - name: career_counselor num_bytes: 2783353.0 num_examples: 100 - name: dishwasher num_bytes: 3136376.0 num_examples: 100 - name: laboratory_technician num_bytes: 3008169.0 num_examples: 100 - name: carpenter num_bytes: 2376679.0 num_examples: 100 - name: correctional_officer num_bytes: 2429145.0 num_examples: 100 - name: community_manager num_bytes: 3189906.0 num_examples: 100 - name: head_cook num_bytes: 3338009.0 num_examples: 100 download_size: 214113890 dataset_size: 215643446.0 --- # Dataset Card for "prof_images_blip__andite-anything-v4.0" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)