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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: courier |
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num_bytes: 2531808.0 |
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num_examples: 100 |
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- name: aide |
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num_examples: 100 |
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- name: financial_analyst |
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num_bytes: 2813013.0 |
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num_examples: 100 |
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- name: it_specialist |
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num_bytes: 4639358.0 |
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num_examples: 100 |
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- name: accountant |
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num_examples: 100 |
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- name: coach |
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num_bytes: 2882930.0 |
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num_examples: 100 |
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- name: data_entry_keyer |
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num_bytes: 2818554.0 |
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num_examples: 100 |
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- name: computer_support_specialist |
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num_bytes: 5378771.0 |
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num_examples: 100 |
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- name: cook |
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num_bytes: 3905031.0 |
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num_examples: 100 |
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- name: interior_designer |
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num_bytes: 3331210.0 |
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num_examples: 100 |
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- name: designer |
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num_bytes: 2642954.0 |
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num_examples: 100 |
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- name: executive_assistant |
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num_bytes: 2258462.0 |
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num_examples: 100 |
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- name: doctor |
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num_bytes: 2518630.0 |
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num_examples: 100 |
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- name: inventory_clerk |
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num_bytes: 3409472.0 |
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num_examples: 100 |
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- name: groundskeeper |
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num_bytes: 2561060.0 |
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num_examples: 100 |
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- name: electrical_engineer |
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num_bytes: 5135441.0 |
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num_examples: 100 |
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- name: insurance_agent |
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num_bytes: 1620035.0 |
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num_examples: 100 |
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- name: aerospace_engineer |
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num_bytes: 3775646.0 |
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num_examples: 100 |
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- name: financial_advisor |
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num_bytes: 2101572.0 |
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num_examples: 100 |
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- name: architect |
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num_bytes: 2260391.0 |
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num_examples: 100 |
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- name: dental_hygienist |
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num_bytes: 2310714.0 |
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num_examples: 100 |
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- name: artist |
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num_bytes: 2748513.0 |
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num_examples: 100 |
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- name: ceo |
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num_bytes: 2000864.0 |
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num_examples: 100 |
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- name: author |
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num_bytes: 3099107.0 |
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num_examples: 100 |
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- name: construction_worker |
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num_bytes: 3129494.0 |
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num_examples: 100 |
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- name: clergy |
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num_bytes: 1658981.0 |
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num_examples: 100 |
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- name: electrician |
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num_bytes: 3902612.0 |
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num_examples: 100 |
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- name: jailer |
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num_bytes: 2136768.0 |
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num_examples: 100 |
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- name: credit_counselor |
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num_bytes: 2526314.0 |
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num_examples: 100 |
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- name: drywall_installer |
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num_bytes: 2038117.0 |
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num_examples: 100 |
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- name: dental_assistant |
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num_bytes: 2585938.0 |
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num_examples: 100 |
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- name: fitness_instructor |
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num_bytes: 2716152.0 |
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num_examples: 100 |
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- name: detective |
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num_bytes: 2062930.0 |
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num_examples: 100 |
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- name: hairdresser |
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num_bytes: 2584556.0 |
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num_examples: 100 |
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- name: compliance_officer |
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num_bytes: 2399239.0 |
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num_examples: 100 |
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- name: language_pathologist |
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num_bytes: 1045161.0 |
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num_examples: 60 |
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- name: industrial_engineer |
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num_bytes: 4357711.0 |
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num_examples: 100 |
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- name: computer_systems_analyst |
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num_bytes: 4291635.0 |
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num_examples: 100 |
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- name: claims_appraiser |
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num_bytes: 3193770.0 |
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num_examples: 100 |
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- name: interviewer |
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num_examples: 100 |
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- name: dispatcher |
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num_bytes: 3374529.0 |
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num_examples: 100 |
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- name: customer_service_representative |
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num_bytes: 3173934.0 |
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num_examples: 100 |
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- name: graphic_designer |
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num_bytes: 3311895.0 |
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num_examples: 100 |
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- name: dentist |
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num_bytes: 1605601.0 |
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num_examples: 100 |
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- name: engineer |
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num_bytes: 3633439.0 |
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num_examples: 100 |
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- name: cleaner |
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num_bytes: 1870345.0 |
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num_examples: 100 |
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- name: facilities_manager |
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num_bytes: 2759902.0 |
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num_examples: 100 |
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- name: cashier |
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num_bytes: 3452619.0 |
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num_examples: 100 |
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- name: baker |
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num_bytes: 2784630.0 |
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num_examples: 100 |
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- name: health_technician |
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num_bytes: 2738076.0 |
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num_examples: 100 |
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- name: janitor |
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num_bytes: 1169693.0 |
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num_examples: 100 |
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- name: director |
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num_bytes: 2243652.0 |
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num_examples: 100 |
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- name: air_conditioning_installer |
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num_bytes: 4242936.0 |
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num_examples: 100 |
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- name: butcher |
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num_bytes: 1952460.0 |
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num_examples: 100 |
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- name: event_planner |
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num_bytes: 3210506.0 |
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num_examples: 100 |
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- name: carpet_installer |
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num_bytes: 3013415.0 |
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num_examples: 100 |
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- name: civil_engineer |
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num_bytes: 3693552.0 |
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num_examples: 100 |
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- name: farmer |
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num_bytes: 3084247.0 |
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num_examples: 100 |
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- name: financial_manager |
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num_bytes: 2364896.0 |
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num_examples: 100 |
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- name: childcare_worker |
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num_bytes: 1268385.0 |
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num_examples: 100 |
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- name: clerk |
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num_bytes: 2799459.0 |
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num_examples: 100 |
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- name: firefighter |
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num_bytes: 3552905.0 |
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num_examples: 100 |
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- name: file_clerk |
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num_bytes: 3642101.0 |
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num_examples: 100 |
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- name: bus_driver |
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num_bytes: 3449795.0 |
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num_examples: 100 |
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- name: fast_food_worker |
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num_bytes: 3737822.0 |
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num_examples: 100 |
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- name: bartender |
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num_bytes: 3623120.0 |
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num_examples: 100 |
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- name: computer_programmer |
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num_bytes: 4341304.0 |
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num_examples: 100 |
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- name: career_counselor |
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num_bytes: 2783353.0 |
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num_examples: 100 |
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- name: dishwasher |
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num_bytes: 3136376.0 |
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num_examples: 100 |
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- name: laboratory_technician |
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num_bytes: 3008169.0 |
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num_examples: 100 |
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- name: carpenter |
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num_bytes: 2376679.0 |
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num_examples: 100 |
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- name: correctional_officer |
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num_bytes: 2429145.0 |
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num_examples: 100 |
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- name: community_manager |
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num_bytes: 3189906.0 |
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num_examples: 100 |
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- name: head_cook |
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num_bytes: 3338009.0 |
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num_examples: 100 |
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download_size: 214113890 |
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dataset_size: 215643446.0 |
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--- |
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# Dataset Card for "prof_images_blip__andite-anything-v4.0" |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |