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--- |
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dataset_info: |
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features: |
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- name: cluster_id |
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dtype: int64 |
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- name: cluster_size |
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dtype: int64 |
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- name: img_ids |
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sequence: int64 |
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- name: img_cluster_scores |
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sequence: float64 |
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splits: |
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- name: accountant |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: aerospace_engineer |
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num_bytes: 1672 |
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num_examples: 3 |
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- name: aide |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: air_conditioning_installer |
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num_bytes: 1792 |
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num_examples: 8 |
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- name: architect |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: artist |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: author |
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num_examples: 5 |
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- name: baker |
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num_examples: 8 |
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- name: bartender |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: bus_driver |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: butcher |
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num_bytes: 1768 |
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num_examples: 7 |
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- name: career_counselor |
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num_bytes: 1696 |
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num_examples: 4 |
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- name: carpenter |
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num_bytes: 1792 |
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num_examples: 8 |
|
- name: carpet_installer |
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num_bytes: 1816 |
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num_examples: 9 |
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- name: cashier |
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num_bytes: 1696 |
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num_examples: 4 |
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- name: ceo |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: childcare_worker |
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num_bytes: 1648 |
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num_examples: 2 |
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- name: civil_engineer |
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num_bytes: 1792 |
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num_examples: 8 |
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- name: claims_appraiser |
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num_bytes: 1816 |
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num_examples: 9 |
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- name: cleaner |
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num_bytes: 1672 |
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- name: clergy |
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num_bytes: 1720 |
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num_examples: 5 |
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num_bytes: 1744 |
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num_examples: 6 |
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num_bytes: 1768 |
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num_examples: 7 |
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num_bytes: 1792 |
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num_examples: 8 |
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num_bytes: 1696 |
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num_bytes: 1792 |
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num_examples: 8 |
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- name: computer_support_specialist |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: computer_systems_analyst |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: construction_worker |
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num_bytes: 1816 |
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num_examples: 9 |
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- name: cook |
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num_bytes: 1768 |
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num_examples: 7 |
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- name: correctional_officer |
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num_bytes: 1696 |
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num_examples: 4 |
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- name: courier |
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num_bytes: 1696 |
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num_examples: 4 |
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- name: credit_counselor |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: customer_service_representative |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: data_entry_keyer |
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num_bytes: 1696 |
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num_examples: 4 |
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- name: dental_assistant |
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num_bytes: 1696 |
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num_examples: 4 |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: dentist |
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num_bytes: 1720 |
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num_examples: 5 |
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- name: director |
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- name: dishwasher |
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- name: dispatcher |
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num_bytes: 1720 |
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num_bytes: 1768 |
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num_examples: 6 |
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num_bytes: 1768 |
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num_examples: 7 |
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- name: executive_assistant |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: facilities_manager |
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num_bytes: 1792 |
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num_examples: 8 |
|
- name: farmer |
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num_bytes: 1792 |
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num_examples: 8 |
|
- name: fast_food_worker |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: file_clerk |
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num_bytes: 1792 |
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num_examples: 8 |
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- name: financial_analyst |
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num_bytes: 1768 |
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num_examples: 7 |
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- name: financial_manager |
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num_bytes: 1744 |
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num_examples: 6 |
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- name: firefighter |
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num_bytes: 1792 |
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num_examples: 8 |
|
- name: fitness_instructor |
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num_bytes: 1768 |
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num_examples: 7 |
|
- name: graphic_designer |
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num_bytes: 1792 |
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num_examples: 8 |
|
- name: groundskeeper |
|
num_bytes: 1840 |
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num_examples: 10 |
|
- name: hairdresser |
|
num_bytes: 1768 |
|
num_examples: 7 |
|
- name: head_cook |
|
num_bytes: 1840 |
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num_examples: 10 |
|
- name: health_technician |
|
num_bytes: 1696 |
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num_examples: 4 |
|
- name: industrial_engineer |
|
num_bytes: 1792 |
|
num_examples: 8 |
|
- name: insurance_agent |
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num_bytes: 1696 |
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num_examples: 4 |
|
- name: interior_designer |
|
num_bytes: 1792 |
|
num_examples: 8 |
|
- name: interviewer |
|
num_bytes: 1744 |
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num_examples: 6 |
|
- name: inventory_clerk |
|
num_bytes: 1792 |
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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 |
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num_examples: 4 |
|
- name: language_pathologist |
|
num_bytes: 1032 |
|
num_examples: 3 |
|
download_size: 307031 |
|
dataset_size: 128344 |
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--- |
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# Dataset Card for "prof_report__andite-anything-v4.0__multi__24" |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |