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---
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:
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    num_bytes: 1672
    num_examples: 3
  - name: aerospace_engineer
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    num_examples: 11
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    num_examples: 7
  - name: air_conditioning_installer
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    num_examples: 4
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    num_examples: 9
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    num_examples: 14
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    num_examples: 8
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    num_examples: 7
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    num_bytes: 1648
    num_examples: 2
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    num_bytes: 1816
    num_examples: 9
  - name: butcher
    num_bytes: 1744
    num_examples: 6
  - name: career_counselor
    num_bytes: 1792
    num_examples: 8
  - name: carpenter
    num_bytes: 1672
    num_examples: 3
  - name: carpet_installer
    num_bytes: 1672
    num_examples: 3
  - name: cashier
    num_bytes: 1816
    num_examples: 9
  - name: ceo
    num_bytes: 1696
    num_examples: 4
  - name: childcare_worker
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    num_examples: 6
  - name: civil_engineer
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    num_examples: 9
  - name: claims_appraiser
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    num_examples: 6
  - name: cleaner
    num_bytes: 1864
    num_examples: 11
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    num_examples: 5
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    num_examples: 14
  - name: coach
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    num_examples: 3
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    num_examples: 6
  - name: compliance_officer
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    num_examples: 5
  - name: computer_programmer
    num_bytes: 1744
    num_examples: 6
  - name: computer_support_specialist
    num_bytes: 1720
    num_examples: 5
  - name: computer_systems_analyst
    num_bytes: 1840
    num_examples: 10
  - name: construction_worker
    num_bytes: 1696
    num_examples: 4
  - name: cook
    num_bytes: 1792
    num_examples: 8
  - name: correctional_officer
    num_bytes: 1816
    num_examples: 9
  - name: courier
    num_bytes: 1912
    num_examples: 13
  - name: credit_counselor
    num_bytes: 1720
    num_examples: 5
  - name: customer_service_representative
    num_bytes: 1720
    num_examples: 5
  - name: data_entry_keyer
    num_bytes: 1768
    num_examples: 7
  - name: dental_assistant
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    num_examples: 3
  - name: dental_hygienist
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    num_examples: 2
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    num_bytes: 1672
    num_examples: 3
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    num_bytes: 1840
    num_examples: 10
  - name: detective
    num_bytes: 1720
    num_examples: 5
  - name: director
    num_bytes: 1720
    num_examples: 5
  - name: dishwasher
    num_bytes: 1816
    num_examples: 9
  - name: dispatcher
    num_bytes: 1720
    num_examples: 5
  - name: doctor
    num_bytes: 1696
    num_examples: 4
  - name: drywall_installer
    num_bytes: 1672
    num_examples: 3
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    num_bytes: 1840
    num_examples: 10
  - name: electrician
    num_bytes: 1672
    num_examples: 3
  - name: engineer
    num_bytes: 1768
    num_examples: 7
  - name: event_planner
    num_bytes: 1720
    num_examples: 5
  - name: executive_assistant
    num_bytes: 1672
    num_examples: 3
  - name: facilities_manager
    num_bytes: 1744
    num_examples: 6
  - name: farmer
    num_bytes: 1648
    num_examples: 2
  - name: fast_food_worker
    num_bytes: 1768
    num_examples: 7
  - name: file_clerk
    num_bytes: 1792
    num_examples: 8
  - name: financial_advisor
    num_bytes: 1648
    num_examples: 2
  - name: financial_analyst
    num_bytes: 1696
    num_examples: 4
  - name: financial_manager
    num_bytes: 1720
    num_examples: 5
  - name: firefighter
    num_bytes: 1624
    num_examples: 1
  - name: fitness_instructor
    num_bytes: 1768
    num_examples: 7
  - name: graphic_designer
    num_bytes: 1792
    num_examples: 8
  - name: groundskeeper
    num_bytes: 1696
    num_examples: 4
  - name: hairdresser
    num_bytes: 1816
    num_examples: 9
  - name: head_cook
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    num_examples: 5
  - name: health_technician
    num_bytes: 1720
    num_examples: 5
  - name: industrial_engineer
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    num_examples: 4
  - name: insurance_agent
    num_bytes: 1696
    num_examples: 4
  - name: interior_designer
    num_bytes: 1720
    num_examples: 5
  - name: interviewer
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    num_examples: 9
  - name: inventory_clerk
    num_bytes: 1792
    num_examples: 8
  - name: it_specialist
    num_bytes: 1672
    num_examples: 3
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    num_bytes: 1744
    num_examples: 6
  - name: janitor
    num_bytes: 1792
    num_examples: 8
  - name: laboratory_technician
    num_bytes: 1792
    num_examples: 8
  - name: language_pathologist
    num_bytes: 1768
    num_examples: 7
  - name: lawyer
    num_bytes: 1792
    num_examples: 8
  - name: librarian
    num_bytes: 1696
    num_examples: 4
  - name: logistician
    num_bytes: 1792
    num_examples: 8
  - name: machinery_mechanic
    num_bytes: 1648
    num_examples: 2
  - name: machinist
    num_bytes: 1768
    num_examples: 7
  - name: maid
    num_bytes: 1792
    num_examples: 8
  - name: manager
    num_bytes: 1744
    num_examples: 6
  - name: manicurist
    num_bytes: 1768
    num_examples: 7
  - name: market_research_analyst
    num_bytes: 1768
    num_examples: 7
  - name: marketing_manager
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    num_examples: 6
  - name: massage_therapist
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    num_examples: 8
  - name: mechanic
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    num_examples: 4
  - name: mechanical_engineer
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    num_examples: 8
  - name: medical_records_specialist
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    num_examples: 8
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    num_examples: 8
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    num_examples: 3
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    num_examples: 9
  - name: musician
    num_bytes: 1816
    num_examples: 9
  - name: network_administrator
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    num_examples: 1
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  - name: nursing_assistant
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    num_examples: 4
  - name: nutritionist
    num_bytes: 1672
    num_examples: 3
  - name: occupational_therapist
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    num_examples: 4
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    num_examples: 7
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    num_examples: 6
  - name: painter
    num_bytes: 1888
    num_examples: 12
  - name: paralegal
    num_bytes: 1744
    num_examples: 6
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    num_examples: 6
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    num_examples: 7
  - name: pharmacy_technician
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    num_examples: 5
  - name: photographer
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    num_examples: 11
  - name: physical_therapist
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    num_examples: 5
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    num_bytes: 1768
    num_examples: 7
  - name: plane_mechanic
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    num_examples: 6
  - name: plumber
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    num_examples: 4
  - name: police_officer
    num_bytes: 1744
    num_examples: 6
  - name: postal_worker
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    num_examples: 11
  - name: printing_press_operator
    num_bytes: 1744
    num_examples: 6
  - name: producer
    num_bytes: 1840
    num_examples: 10
  - name: psychologist
    num_bytes: 1768
    num_examples: 7
  - name: public_relations_specialist
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    num_examples: 3
  - name: purchasing_agent
    num_bytes: 1840
    num_examples: 10
  - name: radiologic_technician
    num_bytes: 1744
    num_examples: 6
  - name: real_estate_broker
    num_bytes: 1696
    num_examples: 4
  - name: receptionist
    num_bytes: 1672
    num_examples: 3
  - name: repair_worker
    num_bytes: 1744
    num_examples: 6
  - name: roofer
    num_bytes: 1696
    num_examples: 4
  - name: sales_manager
    num_bytes: 1672
    num_examples: 3
  - name: salesperson
    num_bytes: 1672
    num_examples: 3
  - name: school_bus_driver
    num_bytes: 1864
    num_examples: 11
  - name: scientist
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    num_examples: 8
  - name: security_guard
    num_bytes: 1720
    num_examples: 5
  - name: sheet_metal_worker
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    num_examples: 4
  - name: singer
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    num_examples: 12
  - name: social_assistant
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    num_examples: 7
  - name: social_worker
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    num_examples: 14
  - name: software_developer
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    num_examples: 5
  - name: stocker
    num_bytes: 1672
    num_examples: 3
  - name: supervisor
    num_bytes: 1672
    num_examples: 3
  - name: taxi_driver
    num_bytes: 1840
    num_examples: 10
  - name: teacher
    num_bytes: 1864
    num_examples: 11
  - name: teaching_assistant
    num_bytes: 1768
    num_examples: 7
  - name: teller
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    num_examples: 14
  - name: therapist
    num_bytes: 1744
    num_examples: 6
  - name: tractor_operator
    num_bytes: 1672
    num_examples: 3
  - name: truck_driver
    num_bytes: 1648
    num_examples: 2
  - name: tutor
    num_bytes: 1840
    num_examples: 10
  - name: underwriter
    num_bytes: 1792
    num_examples: 8
  - name: veterinarian
    num_bytes: 1720
    num_examples: 5
  - name: welder
    num_bytes: 1744
    num_examples: 6
  - name: wholesale_buyer
    num_bytes: 1792
    num_examples: 8
  - name: writer
    num_bytes: 1792
    num_examples: 8
  download_size: 633706
  dataset_size: 255800
---
# Dataset Card for "prof_report__22h-vintedois-diffusion-v0-1__multi__24"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)