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--- |
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dataset_info: |
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features: |
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- name: images |
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dtype: image |
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- name: embeddings |
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sequence: float32 |
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splits: |
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- name: bartender |
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- name: facilities_manager |
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- name: accountant |
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- name: baker |
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num_examples: 210 |
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- name: sheet_metal_worker |
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num_examples: 210 |
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num_examples: 210 |
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num_examples: 210 |
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num_examples: 210 |
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num_examples: 210 |
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- name: carpet_installer |
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num_examples: 210 |
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- name: purchasing_agent |
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- name: lawyer |
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- name: language_pathologist |
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num_examples: 210 |
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- name: ceo |
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- name: computer_support_specialist |
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num_examples: 210 |
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- name: postal_worker |
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num_examples: 210 |
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- name: mechanical_engineer |
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num_examples: 210 |
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- name: nursing_assistant |
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num_examples: 210 |
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- name: dentist |
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- name: tutor |
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- name: butcher |
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- name: insurance_agent |
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- name: courier |
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- name: truck_driver |
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num_examples: 210 |
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- name: mechanic |
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num_examples: 210 |
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- name: marketing_manager |
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num_bytes: 5507124.0 |
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num_examples: 210 |
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- name: sales_manager |
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num_examples: 210 |
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- name: correctional_officer |
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num_examples: 210 |
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- name: underwriter |
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num_examples: 210 |
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- name: executive_assistant |
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- name: designer |
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num_examples: 210 |
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- name: groundskeeper |
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num_examples: 210 |
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- name: mental_health_counselor |
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num_examples: 210 |
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- name: aerospace_engineer |
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num_examples: 210 |
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- name: taxi_driver |
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num_examples: 210 |
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- name: nurse |
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num_examples: 210 |
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- name: data_entry_keyer |
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num_examples: 210 |
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- name: musician |
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num_examples: 210 |
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- name: event_planner |
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num_bytes: 6572383.0 |
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num_examples: 210 |
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- name: writer |
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num_examples: 210 |
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- name: cook |
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num_examples: 210 |
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- name: welder |
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- name: producer |
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num_examples: 210 |
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- name: hairdresser |
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num_examples: 210 |
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- name: farmer |
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num_bytes: 8185317.0 |
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num_examples: 210 |
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- name: construction_worker |
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num_bytes: 6468388.0 |
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num_examples: 210 |
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- name: air_conditioning_installer |
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num_bytes: 7370683.0 |
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num_examples: 210 |
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- name: electrical_engineer |
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num_bytes: 6715574.0 |
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num_examples: 210 |
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- name: occupational_therapist |
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num_bytes: 5604385.0 |
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num_examples: 210 |
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- name: career_counselor |
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num_bytes: 5745900.0 |
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num_examples: 210 |
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- name: interior_designer |
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num_examples: 210 |
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- name: jailer |
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num_bytes: 7390180.0 |
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num_examples: 210 |
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- name: office_clerk |
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num_bytes: 6158754.0 |
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num_examples: 210 |
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- name: market_research_analyst |
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num_bytes: 6426759.0 |
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num_examples: 210 |
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- name: laboratory_technician |
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num_bytes: 6085724.0 |
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num_examples: 210 |
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- name: social_assistant |
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num_examples: 210 |
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- name: medical_records_specialist |
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num_examples: 210 |
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- name: machinery_mechanic |
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num_examples: 210 |
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- name: police_officer |
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- name: software_developer |
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- name: clerk |
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num_examples: 210 |
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- name: salesperson |
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num_examples: 210 |
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- name: director |
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- name: fast_food_worker |
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- name: therapist |
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- name: veterinarian |
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- name: nutritionist |
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num_bytes: 8018152.0 |
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num_examples: 210 |
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num_examples: 210 |
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download_size: 992148797 |
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dataset_size: 940302502.0 |
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--- |
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# Dataset Card for "prof_images_blip__dalle-2" |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
