five

yjernite/prof_report__Lykon-DreamShaper__multi__24

收藏
Hugging Face2023-06-04 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/yjernite/prof_report__Lykon-DreamShaper__multi__24
下载链接
链接失效反馈
官方服务:
资源简介:
--- 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: - name: accountant num_bytes: 1768 num_examples: 7 - name: aerospace_engineer num_bytes: 1696 num_examples: 4 - name: aide num_bytes: 1696 num_examples: 4 - name: air_conditioning_installer num_bytes: 1696 num_examples: 4 - name: architect num_bytes: 1792 num_examples: 8 - name: artist num_bytes: 1840 num_examples: 10 - name: author num_bytes: 1744 num_examples: 6 - name: baker num_bytes: 1864 num_examples: 11 - name: bartender num_bytes: 1744 num_examples: 6 - name: bus_driver num_bytes: 1768 num_examples: 7 - name: butcher num_bytes: 1720 num_examples: 5 - name: career_counselor num_bytes: 1696 num_examples: 4 - name: carpenter num_bytes: 1672 num_examples: 3 - name: carpet_installer num_bytes: 1720 num_examples: 5 - name: cashier num_bytes: 1696 num_examples: 4 - name: ceo num_bytes: 1792 num_examples: 8 - name: childcare_worker num_bytes: 1720 num_examples: 5 - name: civil_engineer num_bytes: 1768 num_examples: 7 - name: claims_appraiser num_bytes: 1744 num_examples: 6 - name: cleaner num_bytes: 1768 num_examples: 7 - name: clergy num_bytes: 1720 num_examples: 5 - name: clerk num_bytes: 1720 num_examples: 5 - name: coach num_bytes: 1696 num_examples: 4 - name: community_manager num_bytes: 1720 num_examples: 5 - name: compliance_officer num_bytes: 1672 num_examples: 3 - name: computer_programmer num_bytes: 1768 num_examples: 7 - name: computer_support_specialist num_bytes: 1744 num_examples: 6 - name: computer_systems_analyst num_bytes: 1720 num_examples: 5 - name: construction_worker num_bytes: 1648 num_examples: 2 - name: cook num_bytes: 1720 num_examples: 5 - name: correctional_officer num_bytes: 1768 num_examples: 7 - name: courier num_bytes: 1816 num_examples: 9 - name: credit_counselor num_bytes: 1672 num_examples: 3 - name: customer_service_representative num_bytes: 1672 num_examples: 3 - name: data_entry_keyer num_bytes: 1744 num_examples: 6 - name: dental_assistant num_bytes: 1672 num_examples: 3 - name: dental_hygienist num_bytes: 1672 num_examples: 3 - name: dentist num_bytes: 1816 num_examples: 9 - name: designer num_bytes: 1792 num_examples: 8 - name: detective num_bytes: 1744 num_examples: 6 - name: director num_bytes: 1840 num_examples: 10 - name: dishwasher num_bytes: 1792 num_examples: 8 - name: dispatcher num_bytes: 1672 num_examples: 3 - name: doctor num_bytes: 1816 num_examples: 9 - name: drywall_installer num_bytes: 1672 num_examples: 3 - name: electrical_engineer num_bytes: 1840 num_examples: 10 - name: electrician num_bytes: 1672 num_examples: 3 - name: engineer num_bytes: 1696 num_examples: 4 - name: event_planner num_bytes: 1672 num_examples: 3 - name: executive_assistant num_bytes: 1672 num_examples: 3 - name: facilities_manager num_bytes: 1792 num_examples: 8 - name: farmer num_bytes: 1648 num_examples: 2 - name: fast_food_worker num_bytes: 1816 num_examples: 9 - name: file_clerk num_bytes: 1720 num_examples: 5 - name: financial_advisor num_bytes: 1672 num_examples: 3 - name: financial_analyst num_bytes: 1696 num_examples: 4 - name: financial_manager num_bytes: 1696 num_examples: 4 - name: firefighter num_bytes: 1648 num_examples: 2 - name: fitness_instructor num_bytes: 1672 num_examples: 3 - name: graphic_designer num_bytes: 1768 num_examples: 7 - name: groundskeeper num_bytes: 1696 num_examples: 4 - name: hairdresser num_bytes: 1792 num_examples: 8 - name: head_cook num_bytes: 1696 num_examples: 4 - name: health_technician num_bytes: 1744 num_examples: 6 - name: industrial_engineer num_bytes: 1696 num_examples: 4 - name: insurance_agent num_bytes: 1696 num_examples: 4 - name: interior_designer num_bytes: 1672 num_examples: 3 - name: interviewer num_bytes: 1696 num_examples: 4 - name: inventory_clerk num_bytes: 1816 num_examples: 9 - name: it_specialist num_bytes: 1672 num_examples: 3 - name: jailer num_bytes: 1744 num_examples: 6 - name: janitor num_bytes: 1720 num_examples: 5 - name: laboratory_technician num_bytes: 1720 num_examples: 5 - name: language_pathologist num_bytes: 1696 num_examples: 4 - name: lawyer num_bytes: 1720 num_examples: 5 - name: librarian num_bytes: 1672 num_examples: 3 - name: logistician num_bytes: 1744 num_examples: 6 - name: machinery_mechanic num_bytes: 1720 num_examples: 5 - name: machinist num_bytes: 1744 num_examples: 6 - name: maid num_bytes: 1768 num_examples: 7 - name: manager num_bytes: 1720 num_examples: 5 - name: manicurist num_bytes: 1768 num_examples: 7 - name: market_research_analyst num_bytes: 1720 num_examples: 5 - name: marketing_manager num_bytes: 1696 num_examples: 4 - name: massage_therapist num_bytes: 1672 num_examples: 3 - name: mechanic num_bytes: 1648 num_examples: 2 - name: mechanical_engineer num_bytes: 1816 num_examples: 9 - name: medical_records_specialist num_bytes: 1720 num_examples: 5 - name: mental_health_counselor num_bytes: 1744 num_examples: 6 - name: metal_worker num_bytes: 1648 num_examples: 2 - name: mover num_bytes: 1768 num_examples: 7 - name: musician num_bytes: 1720 num_examples: 5 - name: network_administrator num_bytes: 1624 num_examples: 1 - name: nurse num_bytes: 1720 num_examples: 5 - name: nursing_assistant num_bytes: 1672 num_examples: 3 - name: nutritionist num_bytes: 1672 num_examples: 3 - name: occupational_therapist num_bytes: 1696 num_examples: 4 - name: office_clerk num_bytes: 1696 num_examples: 4 - name: office_worker num_bytes: 1696 num_examples: 4 - name: painter num_bytes: 1816 num_examples: 9 - name: paralegal num_bytes: 1648 num_examples: 2 - name: payroll_clerk num_bytes: 1648 num_examples: 2 - name: pharmacist num_bytes: 1696 num_examples: 4 - name: pharmacy_technician num_bytes: 1720 num_examples: 5 - name: photographer num_bytes: 1792 num_examples: 8 - name: physical_therapist num_bytes: 1744 num_examples: 6 - name: pilot num_bytes: 1744 num_examples: 6 - name: plane_mechanic num_bytes: 1768 num_examples: 7 - name: plumber num_bytes: 1648 num_examples: 2 - name: police_officer num_bytes: 1768 num_examples: 7 - name: postal_worker num_bytes: 1840 num_examples: 10 - name: printing_press_operator num_bytes: 1720 num_examples: 5 - name: producer num_bytes: 1816 num_examples: 9 - name: psychologist num_bytes: 1768 num_examples: 7 - name: public_relations_specialist num_bytes: 1648 num_examples: 2 - name: purchasing_agent num_bytes: 1696 num_examples: 4 - name: radiologic_technician num_bytes: 1840 num_examples: 10 - name: real_estate_broker num_bytes: 1696 num_examples: 4 - name: receptionist num_bytes: 1672 num_examples: 3 - name: repair_worker num_bytes: 1672 num_examples: 3 - name: roofer num_bytes: 1696 num_examples: 4 - name: sales_manager num_bytes: 1720 num_examples: 5 - name: salesperson num_bytes: 1720 num_examples: 5 - name: school_bus_driver num_bytes: 1864 num_examples: 11 - name: scientist num_bytes: 1696 num_examples: 4 - name: security_guard num_bytes: 1720 num_examples: 5 - name: sheet_metal_worker num_bytes: 1672 num_examples: 3 - name: singer num_bytes: 1768 num_examples: 7 - name: social_assistant num_bytes: 1720 num_examples: 5 - name: social_worker num_bytes: 1816 num_examples: 9 - name: software_developer num_bytes: 1648 num_examples: 2 - name: stocker num_bytes: 1888 num_examples: 12 - name: supervisor num_bytes: 1816 num_examples: 9 - name: taxi_driver num_bytes: 1744 num_examples: 6 - name: teacher num_bytes: 1720 num_examples: 5 - name: teaching_assistant num_bytes: 1720 num_examples: 5 - name: teller num_bytes: 1792 num_examples: 8 - name: therapist num_bytes: 1672 num_examples: 3 - name: tractor_operator num_bytes: 1744 num_examples: 6 - name: truck_driver num_bytes: 1696 num_examples: 4 - name: tutor num_bytes: 1672 num_examples: 3 - name: underwriter num_bytes: 1696 num_examples: 4 - name: veterinarian num_bytes: 1648 num_examples: 2 - name: welder num_bytes: 1648 num_examples: 2 - name: wholesale_buyer num_bytes: 1864 num_examples: 11 - name: writer num_bytes: 1768 num_examples: 7 download_size: 631776 dataset_size: 252200 --- # Dataset Card for "prof_report__Lykon-DreamShaper__multi__24" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
yjernite
原始信息汇总

数据集概述

数据集特征

数据集包含以下特征:

  • cluster_id: 数据类型为 int64
  • cluster_size: 数据类型为 int64
  • img_ids: 序列类型为 int64
  • img_cluster_scores: 序列类型为 float64

数据集分割

数据集分为多个子集,每个子集包含不同的职业名称,具体信息如下:

职业名称 字节数 样本数
accountant 1768 7
aerospace_engineer 1696 4
aide 1696 4
air_conditioning_installer 1696 4
architect 1792 8
artist 1840 10
author 1744 6
baker 1864 11
bartender 1744 6
bus_driver 1768 7
butcher 1720 5
career_counselor 1696 4
carpenter 1672 3
carpet_installer 1720 5
cashier 1696 4
ceo 1792 8
childcare_worker 1720 5
civil_engineer 1768 7
claims_appraiser 1744 6
cleaner 1768 7
clergy 1720 5
clerk 1720 5
coach 1696 4
community_manager 1720 5
compliance_officer 1672 3
computer_programmer 1768 7
computer_support_specialist 1744 6
computer_systems_analyst 1720 5
construction_worker 1648 2
cook 1720 5
correctional_officer 1768 7
courier 1816 9
credit_counselor 1672 3
customer_service_representative 1672 3
data_entry_keyer 1744 6
dental_assistant 1672 3
dental_hygienist 1672 3
dentist 1816 9
designer 1792 8
detective 1744 6
director 1840 10
dishwasher 1792 8
dispatcher 1672 3
doctor 1816 9
drywall_installer 1672 3
electrical_engineer 1840 10
electrician 1672 3
engineer 1696 4
event_planner 1672 3
executive_assistant 1672 3
facilities_manager 1792 8
farmer 1648 2
fast_food_worker 1816 9
file_clerk 1720 5
financial_advisor 1672 3
financial_analyst 1696 4
financial_manager 1696 4
firefighter 1648 2
fitness_instructor 1672 3
graphic_designer 1768 7
groundskeeper 1696 4
hairdresser 1792 8
head_cook 1696 4
health_technician 1744 6
industrial_engineer 1696 4
insurance_agent 1696 4
interior_designer 1672 3
interviewer 1696 4
inventory_clerk 1816 9
it_specialist 1672 3
jailer 1744 6
janitor 1720 5
laboratory_technician 1720 5
language_pathologist 1696 4
lawyer 1720 5
librarian 1672 3
logistician 1744 6
machinery_mechanic 1720 5
machinist 1744 6
maid 1768 7
manager 1720 5
manicurist 1768 7
market_research_analyst 1720 5
marketing_manager 1696 4
massage_therapist 1672 3
mechanic 1648 2
mechanical_engineer 1816 9
medical_records_specialist 1720 5
mental_health_counselor 1744 6
metal_worker 1648 2
mover 1768 7
musician 1720 5
network_administrator 1624 1
nurse 1720 5
nursing_assistant 1672 3
nutritionist 1672 3
occupational_therapist 1696 4
office_clerk 1696 4
office_worker 1696 4
painter 1816 9
paralegal 1648 2
payroll_clerk 1648 2
pharmacist 1696 4
pharmacy_technician 1720 5
photographer 1792 8
physical_therapist 1744 6
pilot 1744 6
plane_mechanic 1768 7
plumber 1648 2
police_officer 1768 7
postal_worker 1840 10
printing_press_operator 1720 5
producer 1816 9
psychologist 1768 7
public_relations_specialist 1648 2
purchasing_agent 1696 4
radiologic_technician 1840 10
real_estate_broker 1696 4
receptionist 1672 3
repair_worker 1672 3
roofer 1696 4
sales_manager 1720 5
salesperson 1720 5
school_bus_driver 1864 11
scientist 1696 4
security_guard 1720 5
sheet_metal_worker 1672 3
singer 1768 7
social_assistant 1720 5
social_worker 1816 9
software_developer 1648 2
stocker 1888 12
supervisor 1816 9
taxi_driver 1744 6
teacher 1720 5
teaching_assistant 1720 5
teller 1792 8
therapist 1672 3
tractor_operator 1744 6
truck_driver 1696 4
tutor 1672 3
underwriter 1696 4
veterinarian 1648 2
welder 1648 2
wholesale_buyer 1864 11
writer 1768 7

数据集大小

  • 下载大小: 631776 字节
  • 数据集大小: 252200 字节
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作