# Dataset Card for "prof_report__andite-anything-v4.0__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": 1672, "num_examples": 3}, {"name": "aide", "num_bytes": 1720, "num_examples": 5}, {"name": "air_conditioning_installer", "num_bytes": 1792, "num_examples": 8}, {"name": "architect", "num_bytes": 1720, "num_examples": 5}, {"name": "artist", "num_bytes": 1720, "num_examples": 5}, {"name": "author", "num_bytes": 1720, "num_examples": 5}, {"name": "baker", "num_bytes": 1792, "num_examples": 8}, {"name": "bartender", "num_bytes": 1744, "num_examples": 6}, {"name": "bus_driver", "num_bytes": 1720, "num_examples": 5}, {"name": "butcher", "num_bytes": 1768, "num_examples": 7}, {"name": "career_counselor", "num_bytes": 1696, "num_examples": 4}, {"name": "carpenter", "num_bytes": 1792, "num_examples": 8}, {"name": "carpet_installer", "num_bytes": 1816, "num_examples": 9}, {"name": "cashier", "num_bytes": 1696, "num_examples": 4}, {"name": "ceo", "num_bytes": 1720, "num_examples": 5}, {"name": "childcare_worker", "num_bytes": 1648, "num_examples": 2}, {"name": "civil_engineer", "num_bytes": 1792, "num_examples": 8}, {"name": "claims_appraiser", "num_bytes": 1816, "num_examples": 9}, {"name": "cleaner", "num_bytes": 1672, "num_examples": 3}, {"name": "clergy", "num_bytes": 1720, "num_examples": 5}, {"name": "clerk", "num_bytes": 1744, "num_examples": 6}, {"name": "coach", "num_bytes": 1768, "num_examples": 7}, {"name": "community_manager", "num_bytes": 1792, "num_examples": 8}, {"name": "compliance_officer", "num_bytes": 1696, "num_examples": 4}, {"name": "computer_programmer", "num_bytes": 1792, "num_examples": 8}, {"name": "computer_support_specialist", "num_bytes": 1744, "num_examples": 6}, {"name": "computer_systems_analyst", "num_bytes": 1744, "num_examples": 6}, {"name": "construction_worker", "num_bytes": 1816, "num_examples": 9}, {"name": "cook", "num_bytes": 1768, "num_examples": 7}, {"name": "correctional_officer", "num_bytes": 1696, "num_examples": 4}, {"name": "courier", "num_bytes": 1696, "num_examples": 4}, {"name": "credit_counselor", "num_bytes": 1720, "num_examples": 5}, {"name": "customer_service_representative", "num_bytes": 1744, "num_examples": 6}, {"name": "data_entry_keyer", "num_bytes": 1696, "num_examples": 4}, {"name": "dental_assistant", "num_bytes": 1696, "num_examples": 4}, {"name": "dental_hygienist", "num_bytes": 1720, "num_examples": 5}, {"name": "dentist", "num_bytes": 1720, "num_examples": 5}, {"name": "designer", "num_bytes": 1768, "num_examples": 7}, {"name": "detective", "num_bytes": 1720, "num_examples": 5}, {"name": "director", "num_bytes": 1744, "num_examples": 6}, {"name": "dishwasher", "num_bytes": 1720, "num_examples": 5}, {"name": "dispatcher", "num_bytes": 1720, "num_examples": 5}, {"name": "doctor", "num_bytes": 1720, "num_examples": 5}, {"name": "drywall_installer", "num_bytes": 1768, "num_examples": 7}, {"name": "electrical_engineer", "num_bytes": 1696, "num_examples": 4}, {"name": "electrician", "num_bytes": 1720, "num_examples": 5}, {"name": "engineer", "num_bytes": 1744, "num_examples": 6}, {"name": "event_planner", "num_bytes": 1768, "num_examples": 7}, {"name": "executive_assistant", "num_bytes": 1744, "num_examples": 6}, {"name": "facilities_manager", "num_bytes": 1792, "num_examples": 8}, {"name": "farmer", "num_bytes": 1792, "num_examples": 8}, {"name": "fast_food_worker", "num_bytes": 1744, "num_examples": 6}, {"name": "file_clerk", "num_bytes": 1696, "num_examples": 4}, {"name": "financial_advisor", "num_bytes": 1792, "num_examples": 8}, {"name": "financial_analyst", "num_bytes": 1768, "num_examples": 7}, {"name": "financial_manager", "num_bytes": 1744, "num_examples": 6}, {"name": "firefighter", "num_bytes": 1792, "num_examples": 8}, {"name": "fitness_instructor", "num_bytes": 1768, "num_examples": 7}, {"name": "graphic_designer", "num_bytes": 1792, "num_examples": 8}, {"name": "groundskeeper", "num_bytes": 1840, "num_examples": 10}, {"name": "hairdresser", "num_bytes": 1768, "num_examples": 7}, {"name": "head_cook", "num_bytes": 1840, "num_examples": 10}, {"name": "health_technician", "num_bytes": 1696, "num_examples": 4}, {"name": "industrial_engineer", "num_bytes": 1792, "num_examples": 8}, {"name": "insurance_agent", "num_bytes": 1696, "num_examples": 4}, {"name": "interior_designer", "num_bytes": 1792, "num_examples": 8}, {"name": "interviewer", "num_bytes": 1744, "num_examples": 6}, {"name": "inventory_clerk", "num_bytes": 1792, "num_examples": 8}, {"name": "it_specialist", "num_bytes": 1696, "num_examples": 4}, {"name": "jailer", "num_bytes": 1696, "num_examples": 4}, {"name": "janitor", "num_bytes": 1720, "num_examples": 5}, {"name": "laboratory_technician", "num_bytes": 1696, "num_examples": 4}, {"name": "language_pathologist", "num_bytes": 1032, "num_examples": 3}], "download_size": 307031, "dataset_size": 128344}}
TAGS
#region-us 

# Dataset Card for "prof_report__andite-anything-v4.0__multi__24"

More Information needed
# Dataset Card for "prof_report__andite-anything-v4.0__multi__24"

More Information needed
TAGS
#region-us 
 # Dataset Card for "prof_report__andite-anything-v4.0__multi__24"

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "prof_report__andite-anything-v4.0__multi__24"

More Information needed