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sasha/prof_images_blip__prompthero-openjourney-v4

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Hugging Face2023-06-02 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/sasha/prof_images_blip__prompthero-openjourney-v4
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资源简介:
--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 4146333.0 num_examples: 100 - name: aide num_bytes: 3030976.0 num_examples: 100 - name: police_officer num_bytes: 3277507.0 num_examples: 100 - name: purchasing_agent num_bytes: 3207646.0 num_examples: 100 - name: metal_worker num_bytes: 4625634.0 num_examples: 100 - name: financial_analyst num_bytes: 3042727.0 num_examples: 100 - name: stocker num_bytes: 3882375.0 num_examples: 100 - name: it_specialist num_bytes: 3708520.0 num_examples: 100 - name: writer num_bytes: 4042568.0 num_examples: 100 - name: accountant num_bytes: 3215772.0 num_examples: 100 - name: coach num_bytes: 3508320.0 num_examples: 100 - name: painter num_bytes: 3993132.0 num_examples: 100 - name: real_estate_broker num_bytes: 3127234.0 num_examples: 100 - name: truck_driver num_bytes: 4644495.0 num_examples: 100 - name: data_entry_keyer num_bytes: 4283347.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3598211.0 num_examples: 100 - name: cook num_bytes: 3790487.0 num_examples: 100 - name: interior_designer num_bytes: 4373351.0 num_examples: 100 - name: nutritionist num_bytes: 3824291.0 num_examples: 100 - name: designer num_bytes: 3484381.0 num_examples: 100 - name: maid num_bytes: 3637820.0 num_examples: 100 - name: producer num_bytes: 3757911.0 num_examples: 100 - name: executive_assistant num_bytes: 3060421.0 num_examples: 100 - name: logistician num_bytes: 3974021.0 num_examples: 100 - name: tractor_operator num_bytes: 5482668.0 num_examples: 100 - name: doctor num_bytes: 3225393.0 num_examples: 100 - name: inventory_clerk num_bytes: 3773437.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4303346.0 num_examples: 100 - name: groundskeeper num_bytes: 4531900.0 num_examples: 100 - name: electrical_engineer num_bytes: 4664222.0 num_examples: 100 - name: physical_therapist num_bytes: 3068593.0 num_examples: 100 - name: insurance_agent num_bytes: 2951534.0 num_examples: 100 - name: aerospace_engineer num_bytes: 4288164.0 num_examples: 100 - name: psychologist num_bytes: 3112508.0 num_examples: 100 - name: financial_advisor num_bytes: 3147975.0 num_examples: 100 - name: printing_press_operator num_bytes: 5058006.0 num_examples: 100 - name: architect num_bytes: 3545898.0 num_examples: 100 - name: dental_hygienist num_bytes: 3301158.0 num_examples: 100 - name: artist num_bytes: 3607453.0 num_examples: 100 - name: office_worker num_bytes: 3285687.0 num_examples: 100 - name: ceo num_bytes: 2928809.0 num_examples: 100 - name: taxi_driver num_bytes: 4226071.0 num_examples: 100 - name: librarian num_bytes: 4094269.0 num_examples: 100 - name: author num_bytes: 3672416.0 num_examples: 100 - name: plumber num_bytes: 4202172.0 num_examples: 100 - name: construction_worker num_bytes: 4161361.0 num_examples: 100 - name: clergy num_bytes: 3205746.0 num_examples: 100 - name: electrician num_bytes: 4217689.0 num_examples: 100 - name: jailer num_bytes: 4347071.0 num_examples: 100 - name: credit_counselor num_bytes: 3166833.0 num_examples: 100 - name: scientist num_bytes: 3506973.0 num_examples: 100 - name: drywall_installer num_bytes: 3554202.0 num_examples: 100 - name: school_bus_driver num_bytes: 4533495.0 num_examples: 100 - name: dental_assistant num_bytes: 3092309.0 num_examples: 100 - name: fitness_instructor num_bytes: 3671725.0 num_examples: 100 - name: detective num_bytes: 3164373.0 num_examples: 100 - name: hairdresser num_bytes: 3541049.0 num_examples: 100 - name: welder num_bytes: 5227519.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4106676.0 num_examples: 100 - name: compliance_officer num_bytes: 3275293.0 num_examples: 100 - name: singer num_bytes: 3764786.0 num_examples: 100 - name: tutor num_bytes: 3751744.0 num_examples: 100 - name: language_pathologist num_bytes: 3837456.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3701769.0 num_examples: 100 - name: sales_manager num_bytes: 2983559.0 num_examples: 100 - name: industrial_engineer num_bytes: 4333733.0 num_examples: 100 - name: manager num_bytes: 2930688.0 num_examples: 100 - name: mechanic num_bytes: 4476848.0 num_examples: 100 - name: postal_worker num_bytes: 3783292.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 3963881.0 num_examples: 100 - name: salesperson num_bytes: 3178770.0 num_examples: 100 - name: office_clerk num_bytes: 3406464.0 num_examples: 100 - name: claims_appraiser num_bytes: 3412701.0 num_examples: 100 - name: security_guard num_bytes: 3472522.0 num_examples: 100 - name: interviewer num_bytes: 3037085.0 num_examples: 100 - name: dispatcher num_bytes: 4038038.0 num_examples: 100 - name: lawyer num_bytes: 3342701.0 num_examples: 100 - name: marketing_manager num_bytes: 3207642.0 num_examples: 100 - name: customer_service_representative num_bytes: 3248196.0 num_examples: 100 - name: software_developer num_bytes: 3247318.0 num_examples: 100 - name: mover num_bytes: 3963680.0 num_examples: 100 - name: supervisor num_bytes: 3355887.0 num_examples: 100 - name: paralegal num_bytes: 3112990.0 num_examples: 100 - name: graphic_designer num_bytes: 4212965.0 num_examples: 100 - name: dentist num_bytes: 3152592.0 num_examples: 100 - name: roofer num_bytes: 4682014.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3114477.0 num_examples: 100 - name: engineer num_bytes: 3757806.0 num_examples: 100 - name: occupational_therapist num_bytes: 3154878.0 num_examples: 100 - name: manicurist num_bytes: 3093040.0 num_examples: 100 - name: cleaner num_bytes: 3447924.0 num_examples: 100 - name: facilities_manager num_bytes: 3359002.0 num_examples: 100 - name: repair_worker num_bytes: 4137910.0 num_examples: 100 - name: cashier num_bytes: 3850933.0 num_examples: 100 - name: baker num_bytes: 3986834.0 num_examples: 100 - name: market_research_analyst num_bytes: 3683427.0 num_examples: 100 - name: health_technician num_bytes: 3256975.0 num_examples: 100 - name: veterinarian num_bytes: 3294312.0 num_examples: 100 - name: underwriter num_bytes: 3063193.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4710070.0 num_examples: 100 - name: janitor num_bytes: 3746576.0 num_examples: 100 - name: pilot num_bytes: 3911566.0 num_examples: 100 - name: therapist num_bytes: 3228145.0 num_examples: 100 - name: director num_bytes: 3198823.0 num_examples: 100 - name: wholesale_buyer num_bytes: 4223940.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4432735.0 num_examples: 100 - name: butcher num_bytes: 4539000.0 num_examples: 100 - name: machinery_mechanic num_bytes: 5082596.0 num_examples: 100 - name: event_planner num_bytes: 3610369.0 num_examples: 100 - name: carpet_installer num_bytes: 4563896.0 num_examples: 100 - name: musician num_bytes: 3833721.0 num_examples: 100 - name: civil_engineer num_bytes: 3938254.0 num_examples: 100 - name: farmer num_bytes: 4743954.0 num_examples: 100 - name: financial_manager num_bytes: 3060782.0 num_examples: 100 - name: childcare_worker num_bytes: 3587994.0 num_examples: 100 - name: clerk num_bytes: 3289972.0 num_examples: 100 - name: machinist num_bytes: 4504863.0 num_examples: 100 - name: firefighter num_bytes: 4463585.0 num_examples: 100 - name: photographer num_bytes: 3618407.0 num_examples: 100 - name: file_clerk num_bytes: 4209622.0 num_examples: 100 - name: bus_driver num_bytes: 4244558.0 num_examples: 100 - name: fast_food_worker num_bytes: 3768688.0 num_examples: 100 - name: bartender num_bytes: 4389977.0 num_examples: 100 - name: computer_programmer num_bytes: 4075572.0 num_examples: 100 - name: pharmacist num_bytes: 4111345.0 num_examples: 100 - name: nursing_assistant num_bytes: 3166043.0 num_examples: 100 - name: career_counselor num_bytes: 3458189.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3271410.0 num_examples: 100 - name: network_administrator num_bytes: 4587116.0 num_examples: 100 - name: teacher num_bytes: 3489593.0 num_examples: 100 - name: dishwasher num_bytes: 4884178.0 num_examples: 100 - name: teller num_bytes: 3347964.0 num_examples: 100 - name: teaching_assistant num_bytes: 3469000.0 num_examples: 100 - name: payroll_clerk num_bytes: 3229022.0 num_examples: 100 - name: laboratory_technician num_bytes: 3767759.0 num_examples: 100 - name: social_assistant num_bytes: 3217312.0 num_examples: 100 - name: radiologic_technician num_bytes: 3690576.0 num_examples: 100 - name: social_worker num_bytes: 3818885.0 num_examples: 100 - name: nurse num_bytes: 3179037.0 num_examples: 100 - name: receptionist num_bytes: 3105956.0 num_examples: 100 - name: carpenter num_bytes: 4416973.0 num_examples: 100 - name: correctional_officer num_bytes: 3875009.0 num_examples: 100 - name: community_manager num_bytes: 3682350.0 num_examples: 100 - name: massage_therapist num_bytes: 3028599.0 num_examples: 100 - name: head_cook num_bytes: 3700341.0 num_examples: 100 - name: plane_mechanic num_bytes: 4021875.0 num_examples: 100 download_size: 570647541 dataset_size: 546777702.0 --- # Dataset Card for "prof_images_blip__prompthero-openjourney-v4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
sasha
原始信息汇总

数据集概述

数据集名称

"prof_images_blip__prompthero-openjourney-v4"

数据集特征

  • images: 图像数据类型
  • embeddings: 序列数据类型,具体为float32

数据集分割

数据集包含多个分割,每个分割代表不同的职业,每个分割包含100个示例,具体如下:

职业 示例数量 字节数
courier 100 4146333.0
aide 100 3030976.0
police_officer 100 3277507.0
purchasing_agent 100 3207646.0
metal_worker 100 4625634.0
financial_analyst 100 3042727.0
stocker 100 3882375.0
it_specialist 100 3708520.0
writer 100 4042568.0
accountant 100 3215772.0
coach 100 3508320.0
painter 100 3993132.0
real_estate_broker 100 3127234.0
truck_driver 100 4644495.0
data_entry_keyer 100 4283347.0
computer_support_specialist 100 3598211.0
cook 100 3790487.0
interior_designer 100 4373351.0
nutritionist 100 3824291.0
designer 100 3484381.0
maid 100 3637820.0
producer 100 3757911.0
executive_assistant 100 3060421.0
logistician 100 3974021.0
tractor_operator 100 5482668.0
doctor 100 3225393.0
inventory_clerk 100 3773437.0
sheet_metal_worker 100 4303346.0
groundskeeper 100 4531900.0
electrical_engineer 100 4664222.0
physical_therapist 100 3068593.0
insurance_agent 100 2951534.0
aerospace_engineer 100 4288164.0
psychologist 100 3112508.0
financial_advisor 100 3147975.0
printing_press_operator 100 5058006.0
architect 100 3545898.0
dental_hygienist 100 3301158.0
artist 100 3607453.0
office_worker 100 3285687.0
ceo 100 2928809.0
taxi_driver 100 4226071.0
librarian 100 4094269.0
author 100 3672416.0
plumber 100 4202172.0
construction_worker 100 4161361.0
clergy 100 3205746.0
electrician 100 4217689.0
jailer 100 4347071.0
credit_counselor 100 3166833.0
scientist 100 3506973.0
drywall_installer 100 3554202.0
school_bus_driver 100 4533495.0
dental_assistant 100 3092309.0
fitness_instructor 100 3671725.0
detective 100 3164373.0
hairdresser 100 3541049.0
welder 100 5227519.0
pharmacy_technician 100 4106676.0
compliance_officer 100 3275293.0
singer 100 3764786.0
tutor 100 3751744.0
language_pathologist 100 3837456.0
medical_records_specialist 100 3701769.0
sales_manager 100 2983559.0
industrial_engineer 100 4333733.0
manager 100 2930688.0
mechanic 100 4476848.0
postal_worker 100 3783292.0
computer_systems_analyst 100 3963881.0
salesperson 100 3178770.0
office_clerk 100 3406464.0
claims_appraiser 100 3412701.0
security_guard 100 3472522.0
interviewer 100 3037085.0
dispatcher 100 4038038.0
lawyer 100 3342701.0
marketing_manager 100 3207642.0
customer_service_representative 100 3248196.0
software_developer 100 3247318.0
mover 100 3963680.0
supervisor 100 3355887.0
paralegal 100 3112990.0
graphic_designer 100 4212965.0
dentist 100 3152592.0
roofer 100 4682014.0
public_relations_specialist 100 3114477.0
engineer 100 3757806.0
occupational_therapist 100 3154878.0
manicurist 100 3093040.0
cleaner 100 3447924.0
facilities_manager 100 3359002.0
repair_worker 100 4137910.0
cashier 100 3850933.0
baker 100 3986834.0
market_research_analyst 100 3683427.0
health_technician 100 3256975.0
veterinarian 100 3294312.0
underwriter 100 3063193.0
mechanical_engineer 100 4710070.0
janitor 100 3746576.0
pilot 100 3911566.0
therapist 100 3228145.0
director 100 3198823.0
wholesale_buyer 100 4223940.0
air_conditioning_installer 100 4432735.0
butcher 100 4539000.0
machinery_mechanic 100 5082596.0
event_planner 100 3610369.0
carpet_installer 100 4563896.0
musician 100 3833721.0
civil_engineer 100 3938254.0
farmer 100 4743954.0
financial_manager 100 3060782.0
childcare_worker 100 3587994.0
clerk 100 3289972.0
machinist 100 4504863.0
firefighter 100 4463585.0
photographer 100 3618407.0
file_clerk 100 4209622.0
bus_driver 100 4244558.0
fast_food_worker 100 3768688.0
bartender 100 4389977.0
computer_programmer 100 4075572.0
pharmacist 100 4111345.0
nursing_assistant 100 3166043.0
career_counselor 100 3458189.0
mental_health_counselor 100 3271410.0
network_administrator 100 4587116.0
teacher 100 3489593.0
dishwasher 100 4884178.0
teller 100 3347964.0
teaching_assistant 100 3469000.0
payroll_clerk 100 3229022.0
laboratory_technician 100 3767759.0
social_assistant 100 3217312.0
radiologic_technician 100 3690576.0
social_worker 100 3818885.0
nurse 100 3179037.0
receptionist 100 3105956.0
carpenter 100 4416973.0
correctional_officer 100 3875009.0
community_manager 100 3682350.0
massage_therapist 100 3028599.0
head_cook 100 3700341.0
plane_mechanic 100 4021875.0

数据集大小

  • 下载大小: 570647541字节
  • 数据集大小: 546777702.0字节
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