# Dataset Card for "prof_report__plasmo-vox2__multi__24"

[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": "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": 1744, "num_examples": 6}, {"name": "aerospace_engineer", "num_bytes": 1936, "num_examples": 14}, {"name": "aide", "num_bytes": 1912, "num_examples": 13}, {"name": "air_conditioning_installer", "num_bytes": 1720, "num_examples": 5}, {"name": "architect", "num_bytes": 1816, "num_examples": 9}, {"name": "artist", "num_bytes": 1936, "num_examples": 14}, {"name": "author", "num_bytes": 1768, "num_examples": 7}, {"name": "baker", "num_bytes": 1960, "num_examples": 15}, {"name": "bartender", "num_bytes": 1696, "num_examples": 4}, {"name": "bus_driver", "num_bytes": 1816, "num_examples": 9}, {"name": "butcher", "num_bytes": 1768, "num_examples": 7}, {"name": "career_counselor", "num_bytes": 1792, "num_examples": 8}, {"name": "carpenter", "num_bytes": 1768, "num_examples": 7}, {"name": "carpet_installer", "num_bytes": 1696, "num_examples": 4}, {"name": "cashier", "num_bytes": 1888, "num_examples": 12}, {"name": "ceo", "num_bytes": 1792, "num_examples": 8}, {"name": "childcare_worker", "num_bytes": 1840, "num_examples": 10}, {"name": "civil_engineer", "num_bytes": 1792, "num_examples": 8}, {"name": "claims_appraiser", "num_bytes": 1744, "num_examples": 6}, {"name": "cleaner", "num_bytes": 1888, "num_examples": 12}, {"name": "clergy", "num_bytes": 1816, "num_examples": 9}, {"name": "clerk", "num_bytes": 1984, "num_examples": 16}, {"name": "coach", "num_bytes": 1768, "num_examples": 7}, {"name": "community_manager", "num_bytes": 1792, "num_examples": 8}, {"name": "compliance_officer", "num_bytes": 1816, "num_examples": 9}, {"name": "computer_programmer", "num_bytes": 1720, "num_examples": 5}, {"name": "computer_support_specialist", "num_bytes": 1792, "num_examples": 8}, {"name": "computer_systems_analyst", "num_bytes": 1744, "num_examples": 6}, {"name": "construction_worker", "num_bytes": 1768, "num_examples": 7}, {"name": "cook", "num_bytes": 1864, "num_examples": 11}, {"name": "correctional_officer", "num_bytes": 1816, "num_examples": 9}, {"name": "courier", "num_bytes": 1984, "num_examples": 16}, {"name": "credit_counselor", "num_bytes": 1864, "num_examples": 11}, {"name": "customer_service_representative", "num_bytes": 1792, "num_examples": 8}, {"name": "data_entry_keyer", "num_bytes": 1840, "num_examples": 10}, {"name": "dental_assistant", "num_bytes": 1744, "num_examples": 6}, {"name": "dental_hygienist", "num_bytes": 1696, "num_examples": 4}, {"name": "dentist", "num_bytes": 1744, "num_examples": 6}, {"name": "designer", "num_bytes": 1864, "num_examples": 11}, {"name": "detective", "num_bytes": 1744, "num_examples": 6}, {"name": "director", "num_bytes": 1816, "num_examples": 9}, {"name": "dishwasher", "num_bytes": 1864, "num_examples": 11}, {"name": "dispatcher", "num_bytes": 1768, "num_examples": 7}, {"name": "doctor", "num_bytes": 1816, "num_examples": 9}, {"name": "drywall_installer", "num_bytes": 1696, "num_examples": 4}, {"name": "electrical_engineer", "num_bytes": 1816, "num_examples": 9}, {"name": "electrician", "num_bytes": 1696, "num_examples": 4}, {"name": "engineer", "num_bytes": 1744, "num_examples": 6}, {"name": "event_planner", "num_bytes": 1720, "num_examples": 5}, {"name": "executive_assistant", "num_bytes": 1696, "num_examples": 4}, {"name": "facilities_manager", "num_bytes": 1792, "num_examples": 8}, {"name": "farmer", "num_bytes": 1696, "num_examples": 4}, {"name": "fast_food_worker", "num_bytes": 1912, "num_examples": 13}, {"name": "file_clerk", "num_bytes": 1864, "num_examples": 11}, {"name": "financial_advisor", "num_bytes": 1672, "num_examples": 3}, {"name": "financial_analyst", "num_bytes": 1768, "num_examples": 7}, {"name": "financial_manager", "num_bytes": 1768, "num_examples": 7}, {"name": "firefighter", "num_bytes": 1696, "num_examples": 4}, {"name": "fitness_instructor", "num_bytes": 1720, "num_examples": 5}, {"name": "graphic_designer", "num_bytes": 1840, "num_examples": 10}, {"name": "groundskeeper", "num_bytes": 1720, "num_examples": 5}, {"name": "hairdresser", "num_bytes": 1792, "num_examples": 8}, {"name": "head_cook", "num_bytes": 1840, "num_examples": 10}, {"name": "health_technician", "num_bytes": 1840, "num_examples": 10}, {"name": "industrial_engineer", "num_bytes": 1744, "num_examples": 6}, {"name": "insurance_agent", "num_bytes": 1768, "num_examples": 7}, {"name": "interior_designer", "num_bytes": 1840, "num_examples": 10}, {"name": "interviewer", "num_bytes": 1840, "num_examples": 10}, {"name": "inventory_clerk", "num_bytes": 1888, "num_examples": 12}, {"name": "it_specialist", "num_bytes": 1720, "num_examples": 5}, {"name": "jailer", "num_bytes": 1768, "num_examples": 7}, {"name": "janitor", "num_bytes": 1840, "num_examples": 10}, {"name": "laboratory_technician", "num_bytes": 1816, "num_examples": 9}, {"name": "language_pathologist", "num_bytes": 1864, "num_examples": 11}, {"name": "lawyer", "num_bytes": 1768, "num_examples": 7}, {"name": "librarian", "num_bytes": 1840, "num_examples": 10}, {"name": "logistician", "num_bytes": 1816, "num_examples": 9}, {"name": "machinery_mechanic", "num_bytes": 1744, "num_examples": 6}, {"name": "machinist", "num_bytes": 1768, "num_examples": 7}, {"name": "maid", "num_bytes": 1768, "num_examples": 7}, {"name": "manager", "num_bytes": 1768, "num_examples": 7}, {"name": "manicurist", "num_bytes": 1792, "num_examples": 8}, {"name": "market_research_analyst", "num_bytes": 1840, "num_examples": 10}, {"name": "marketing_manager", "num_bytes": 1768, "num_examples": 7}, {"name": "massage_therapist", "num_bytes": 1768, "num_examples": 7}, {"name": "mechanic", "num_bytes": 1720, "num_examples": 5}, {"name": "mechanical_engineer", "num_bytes": 1816, "num_examples": 9}, {"name": "medical_records_specialist", "num_bytes": 1792, "num_examples": 8}, {"name": "mental_health_counselor", "num_bytes": 1840, "num_examples": 10}, {"name": "metal_worker", "num_bytes": 1696, "num_examples": 4}, {"name": "mover", "num_bytes": 1888, "num_examples": 12}, {"name": "musician", "num_bytes": 1840, "num_examples": 10}, {"name": "network_administrator", "num_bytes": 1648, "num_examples": 2}, {"name": "nurse", "num_bytes": 1744, "num_examples": 6}, {"name": "nursing_assistant", "num_bytes": 1696, "num_examples": 4}, {"name": "nutritionist", "num_bytes": 1768, "num_examples": 7}, {"name": "occupational_therapist", "num_bytes": 1840, "num_examples": 10}, {"name": "office_clerk", "num_bytes": 1840, "num_examples": 10}, {"name": "office_worker", "num_bytes": 1864, "num_examples": 11}, {"name": "painter", "num_bytes": 1864, "num_examples": 11}, {"name": "paralegal", "num_bytes": 1792, "num_examples": 8}, {"name": "payroll_clerk", "num_bytes": 1768, "num_examples": 7}, {"name": "pharmacist", "num_bytes": 1864, "num_examples": 11}, {"name": "pharmacy_technician", "num_bytes": 1744, "num_examples": 6}, {"name": "photographer", "num_bytes": 1864, "num_examples": 11}, {"name": "physical_therapist", "num_bytes": 1840, "num_examples": 10}, {"name": "pilot", "num_bytes": 1816, "num_examples": 9}, {"name": "plane_mechanic", "num_bytes": 1888, "num_examples": 12}, {"name": "plumber", "num_bytes": 1720, "num_examples": 5}, {"name": "police_officer", "num_bytes": 1768, "num_examples": 7}, {"name": "postal_worker", "num_bytes": 1912, "num_examples": 13}, {"name": "printing_press_operator", "num_bytes": 1816, "num_examples": 9}, {"name": "producer", "num_bytes": 1888, "num_examples": 12}, {"name": "psychologist", "num_bytes": 1768, "num_examples": 7}, {"name": "public_relations_specialist", "num_bytes": 1720, "num_examples": 5}, {"name": "purchasing_agent", "num_bytes": 1816, "num_examples": 9}, {"name": "radiologic_technician", "num_bytes": 1768, "num_examples": 7}, {"name": "real_estate_broker", "num_bytes": 1696, "num_examples": 4}, {"name": "receptionist", "num_bytes": 1696, "num_examples": 4}, {"name": "repair_worker", "num_bytes": 1744, "num_examples": 6}, {"name": "roofer", "num_bytes": 1696, "num_examples": 4}, {"name": "sales_manager", "num_bytes": 1624, "num_examples": 1}, {"name": "salesperson", "num_bytes": 1696, "num_examples": 4}, {"name": "school_bus_driver", "num_bytes": 1840, "num_examples": 10}, {"name": "scientist", "num_bytes": 1888, "num_examples": 12}, {"name": "security_guard", "num_bytes": 1744, "num_examples": 6}, {"name": "sheet_metal_worker", "num_bytes": 1768, "num_examples": 7}, {"name": "singer", "num_bytes": 1960, "num_examples": 15}, {"name": "social_assistant", "num_bytes": 1864, "num_examples": 11}, {"name": "social_worker", "num_bytes": 1936, "num_examples": 14}, {"name": "software_developer", "num_bytes": 1672, "num_examples": 3}, {"name": "stocker", "num_bytes": 1864, "num_examples": 11}, {"name": "supervisor", "num_bytes": 1864, "num_examples": 11}, {"name": "taxi_driver", "num_bytes": 1864, "num_examples": 11}, {"name": "teacher", "num_bytes": 1912, "num_examples": 13}, {"name": "teaching_assistant", "num_bytes": 1816, "num_examples": 9}, {"name": "teller", "num_bytes": 1984, "num_examples": 16}, {"name": "therapist", "num_bytes": 1840, "num_examples": 10}, {"name": "tractor_operator", "num_bytes": 1696, "num_examples": 4}, {"name": "truck_driver", "num_bytes": 1696, "num_examples": 4}, {"name": "tutor", "num_bytes": 1984, "num_examples": 16}, {"name": "underwriter", "num_bytes": 1744, "num_examples": 6}, {"name": "veterinarian", "num_bytes": 1744, "num_examples": 6}, {"name": "welder", "num_bytes": 1768, "num_examples": 7}, {"name": "wholesale_buyer", "num_bytes": 1792, "num_examples": 8}, {"name": "writer", "num_bytes": 1816, "num_examples": 9}], "download_size": 635999, "dataset_size": 262520}}
TAGS
#region-us 

# Dataset Card for "prof_report__plasmo-vox2__multi__24"

More Information needed
# Dataset Card for "prof_report__plasmo-vox2__multi__24"

More Information needed
TAGS
#region-us 
 # Dataset Card for "prof_report__plasmo-vox2__multi__24"

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "prof_report__plasmo-vox2__multi__24"

More Information needed