# Dataset Card for "prof_images_blip__SD_v1.4_random_seeds"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
region:us
{"dataset_info": {"features": [{"name": "images", "dtype": "image"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "paralegal", "num_bytes": 7646841.0, "num_examples": 210}, {"name": "bartender", "num_bytes": 9656403.0, "num_examples": 210}, {"name": "facilities_manager", "num_bytes": 7939596.0, "num_examples": 210}, {"name": "accountant", "num_bytes": 7513737.0, "num_examples": 210}, {"name": "graphic_designer", "num_bytes": 8476206.0, "num_examples": 210}, {"name": "network_administrator", "num_bytes": 8443347.0, "num_examples": 210}, {"name": "financial_manager", "num_bytes": 7227119.0, "num_examples": 210}, {"name": "baker", "num_bytes": 8672857.0, "num_examples": 210}, {"name": "security_guard", "num_bytes": 7942640.0, "num_examples": 210}, {"name": "artist", "num_bytes": 8083290.0, "num_examples": 210}, {"name": "author", "num_bytes": 8873877.0, "num_examples": 210}, {"name": "printing_press_operator", "num_bytes": 10388023.0, "num_examples": 210}, {"name": "public_relations_specialist", "num_bytes": 7199383.0, "num_examples": 210}, {"name": "sheet_metal_worker", "num_bytes": 9353067.0, "num_examples": 210}, {"name": "clergy", "num_bytes": 8002257.0, "num_examples": 210}, {"name": "payroll_clerk", "num_bytes": 7327406.0, "num_examples": 210}, {"name": "teller", "num_bytes": 8138750.0, "num_examples": 210}, {"name": "real_estate_broker", "num_bytes": 7795576.0, "num_examples": 210}, {"name": "customer_service_representative", "num_bytes": 7143626.0, "num_examples": 210}, {"name": "painter", "num_bytes": 9020751.0, "num_examples": 210}, {"name": "tractor_operator", "num_bytes": 12230813.0, "num_examples": 210}, {"name": "dental_hygienist", "num_bytes": 6988033.0, "num_examples": 210}, {"name": "industrial_engineer", "num_bytes": 9066892.0, "num_examples": 210}, {"name": "electrician", "num_bytes": 9641860.0, "num_examples": 210}, {"name": "head_cook", "num_bytes": 8437525.0, "num_examples": 210}, {"name": "health_technician", "num_bytes": 7010675.0, "num_examples": 210}, {"name": "carpet_installer", "num_bytes": 10374339.0, "num_examples": 210}, {"name": "purchasing_agent", "num_bytes": 8156800.0, "num_examples": 210}, {"name": "supervisor", "num_bytes": 7971694.0, "num_examples": 210}, {"name": "civil_engineer", "num_bytes": 8976211.0, "num_examples": 210}, {"name": "lawyer", "num_bytes": 7876930.0, "num_examples": 210}, {"name": "language_pathologist", "num_bytes": 8358262.0, "num_examples": 210}, {"name": "ceo", "num_bytes": 7037411.0, "num_examples": 210}, {"name": "computer_support_specialist", "num_bytes": 7509091.0, "num_examples": 210}, {"name": "postal_worker", "num_bytes": 8497580.0, "num_examples": 210}, {"name": "mechanical_engineer", "num_bytes": 9519892.0, "num_examples": 210}, {"name": "nursing_assistant", "num_bytes": 7074716.0, "num_examples": 210}, {"name": "dentist", "num_bytes": 6733696.0, "num_examples": 210}, {"name": "tutor", "num_bytes": 8567683.0, "num_examples": 210}, {"name": "butcher", "num_bytes": 9999259.0, "num_examples": 210}, {"name": "insurance_agent", "num_bytes": 7199147.0, "num_examples": 210}, {"name": "courier", "num_bytes": 8908388.0, "num_examples": 210}, {"name": "computer_programmer", "num_bytes": 7989301.0, "num_examples": 210}, {"name": "truck_driver", "num_bytes": 10286999.0, "num_examples": 210}, {"name": "mechanic", "num_bytes": 9133343.0, "num_examples": 210}, {"name": "marketing_manager", "num_bytes": 7637250.0, "num_examples": 210}, {"name": "sales_manager", "num_bytes": 7243154.0, "num_examples": 210}, {"name": "correctional_officer", "num_bytes": 7942926.0, "num_examples": 210}, {"name": "manager", "num_bytes": 7487408.0, "num_examples": 210}, {"name": "underwriter", "num_bytes": 7621339.0, "num_examples": 210}, {"name": "executive_assistant", "num_bytes": 7137280.0, "num_examples": 210}, {"name": "designer", "num_bytes": 7841206.0, "num_examples": 210}, {"name": "groundskeeper", "num_bytes": 11730261.0, "num_examples": 210}, {"name": "mental_health_counselor", "num_bytes": 7661055.0, "num_examples": 210}, {"name": "aerospace_engineer", "num_bytes": 9256536.0, "num_examples": 210}, {"name": "taxi_driver", "num_bytes": 9294017.0, "num_examples": 210}, {"name": "nurse", "num_bytes": 6942648.0, "num_examples": 210}, {"name": "data_entry_keyer", "num_bytes": 8151562.0, "num_examples": 210}, {"name": "musician", "num_bytes": 8657476.0, "num_examples": 210}, {"name": "event_planner", "num_bytes": 9288583.0, "num_examples": 210}, {"name": "writer", "num_bytes": 9018669.0, "num_examples": 210}, {"name": "cook", "num_bytes": 8648983.0, "num_examples": 210}, {"name": "welder", "num_bytes": 10503130.0, "num_examples": 210}, {"name": "producer", "num_bytes": 8625107.0, "num_examples": 210}, {"name": "hairdresser", "num_bytes": 7737596.0, "num_examples": 210}, {"name": "farmer", "num_bytes": 12081580.0, "num_examples": 210}, {"name": "construction_worker", "num_bytes": 9313129.0, "num_examples": 210}, {"name": "air_conditioning_installer", "num_bytes": 9487400.0, "num_examples": 210}, {"name": "electrical_engineer", "num_bytes": 8923900.0, "num_examples": 210}, {"name": "occupational_therapist", "num_bytes": 8311478.0, "num_examples": 210}, {"name": "career_counselor", "num_bytes": 7998049.0, "num_examples": 210}, {"name": "interior_designer", "num_bytes": 9506542.0, "num_examples": 210}, {"name": "jailer", "num_bytes": 9447296.0, "num_examples": 210}, {"name": "office_clerk", "num_bytes": 7604831.0, "num_examples": 210}, {"name": "market_research_analyst", "num_bytes": 8095959.0, "num_examples": 210}, {"name": "laboratory_technician", "num_bytes": 7612946.0, "num_examples": 210}, {"name": "social_assistant", "num_bytes": 8337646.0, "num_examples": 210}, {"name": "medical_records_specialist", "num_bytes": 7344197.0, "num_examples": 210}, {"name": "machinery_mechanic", "num_bytes": 10418637.0, "num_examples": 210}, {"name": "police_officer", "num_bytes": 7714404.0, "num_examples": 210}, {"name": "software_developer", "num_bytes": 7404422.0, "num_examples": 210}, {"name": "clerk", "num_bytes": 8049553.0, "num_examples": 210}, {"name": "salesperson", "num_bytes": 7342429.0, "num_examples": 210}, {"name": "social_worker", "num_bytes": 8720964.0, "num_examples": 210}, {"name": "director", "num_bytes": 7640512.0, "num_examples": 210}, {"name": "fast_food_worker", "num_bytes": 8453710.0, "num_examples": 210}, {"name": "singer", "num_bytes": 8259292.0, "num_examples": 210}, {"name": "metal_worker", "num_bytes": 10017960.0, "num_examples": 210}, {"name": "cleaner", "num_bytes": 8535334.0, "num_examples": 210}, {"name": "computer_systems_analyst", "num_bytes": 8217200.0, "num_examples": 210}, {"name": "dental_assistant", "num_bytes": 6634326.0, "num_examples": 210}, {"name": "psychologist", "num_bytes": 7503024.0, "num_examples": 210}, {"name": "machinist", "num_bytes": 9438247.0, "num_examples": 210}, {"name": "therapist", "num_bytes": 7341051.0, "num_examples": 210}, {"name": "veterinarian", "num_bytes": 7785661.0, "num_examples": 210}, {"name": "teacher", "num_bytes": 8497608.0, "num_examples": 210}, {"name": "architect", "num_bytes": 8197165.0, "num_examples": 210}, {"name": "office_worker", "num_bytes": 7312206.0, "num_examples": 210}, {"name": "drywall_installer", "num_bytes": 7683345.0, "num_examples": 210}, {"name": "nutritionist", "num_bytes": 8913796.0, "num_examples": 210}, {"name": "librarian", "num_bytes": 10311263.0, "num_examples": 210}, {"name": "childcare_worker", "num_bytes": 8266680.0, "num_examples": 210}, {"name": "school_bus_driver", "num_bytes": 10541264.0, "num_examples": 210}, {"name": "file_clerk", "num_bytes": 9222817.0, "num_examples": 210}, {"name": "logistician", "num_bytes": 9092075.0, "num_examples": 210}, {"name": "scientist", "num_bytes": 7896201.0, "num_examples": 210}, {"name": "teaching_assistant", "num_bytes": 8499137.0, "num_examples": 210}, {"name": "radiologic_technician", "num_bytes": 7081678.0, "num_examples": 210}, {"name": "manicurist", "num_bytes": 7005774.0, "num_examples": 210}, {"name": "community_manager", "num_bytes": 8521851.0, "num_examples": 210}, {"name": "carpenter", "num_bytes": 10007111.0, "num_examples": 210}, {"name": "claims_appraiser", "num_bytes": 8242546.0, "num_examples": 210}, {"name": "dispatcher", "num_bytes": 8085389.0, "num_examples": 210}, {"name": "cashier", "num_bytes": 8962624.0, "num_examples": 210}, {"name": "roofer", "num_bytes": 11218753.0, "num_examples": 210}, {"name": "photographer", "num_bytes": 8526999.0, "num_examples": 210}, {"name": "detective", "num_bytes": 8002048.0, "num_examples": 210}, {"name": "financial_advisor", "num_bytes": 7583126.0, "num_examples": 210}, {"name": "wholesale_buyer", "num_bytes": 10335429.0, "num_examples": 210}, {"name": "it_specialist", "num_bytes": 7860665.0, "num_examples": 210}, {"name": "pharmacy_technician", "num_bytes": 8620337.0, "num_examples": 210}, {"name": "engineer", "num_bytes": 8979311.0, "num_examples": 210}, {"name": "mover", "num_bytes": 8820348.0, "num_examples": 210}, {"name": "plane_mechanic", "num_bytes": 8726367.0, "num_examples": 210}, {"name": "interviewer", "num_bytes": 7299959.0, "num_examples": 210}, {"name": "massage_therapist", "num_bytes": 6975898.0, "num_examples": 210}, {"name": "dishwasher", "num_bytes": 10386508.0, "num_examples": 210}, {"name": "fitness_instructor", "num_bytes": 7931472.0, "num_examples": 210}, {"name": "credit_counselor", "num_bytes": 7800363.0, "num_examples": 210}, {"name": "stocker", "num_bytes": 8874226.0, "num_examples": 210}, {"name": "pharmacist", "num_bytes": 9188954.0, "num_examples": 210}, {"name": "doctor", "num_bytes": 7326990.0, "num_examples": 210}, {"name": "compliance_officer", "num_bytes": 7141629.0, "num_examples": 210}, {"name": "aide", "num_bytes": 7388587.0, "num_examples": 210}, {"name": "bus_driver", "num_bytes": 9396085.0, "num_examples": 210}, {"name": "financial_analyst", "num_bytes": 7264493.0, "num_examples": 210}, {"name": "receptionist", "num_bytes": 6875649.0, "num_examples": 210}, {"name": "janitor", "num_bytes": 8311976.0, "num_examples": 210}, {"name": "plumber", "num_bytes": 9008536.0, "num_examples": 210}, {"name": "physical_therapist", "num_bytes": 7318295.0, "num_examples": 210}, {"name": "inventory_clerk", "num_bytes": 8803050.0, "num_examples": 210}, {"name": "firefighter", "num_bytes": 9575610.0, "num_examples": 210}, {"name": "coach", "num_bytes": 8322409.0, "num_examples": 210}, {"name": "maid", "num_bytes": 7781267.0, "num_examples": 210}, {"name": "pilot", "num_bytes": 8091005.0, "num_examples": 210}, {"name": "repair_worker", "num_bytes": 9253551.0, "num_examples": 210}], "download_size": 1284633786, "dataset_size": 1231689582.0}}
TAGS
#region-us 

# Dataset Card for "prof_images_blip__SD_v1.4_random_seeds"

More Information needed
# Dataset Card for "prof_images_blip__SD_v1.4_random_seeds"

More Information needed
TAGS
#region-us 
 # Dataset Card for "prof_images_blip__SD_v1.4_random_seeds"

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "prof_images_blip__SD_v1.4_random_seeds"

More Information needed