yjernite/prof_report__prompthero-openjourney-v4__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__prompthero-openjourney-v4__multi__24
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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
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num_examples: 4
- name: aerospace_engineer
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num_examples: 11
- name: aide
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num_examples: 8
- name: air_conditioning_installer
num_bytes: 1696
num_examples: 4
- name: architect
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num_examples: 5
- name: artist
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num_examples: 11
- name: author
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- name: baker
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- name: bartender
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- name: bus_driver
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- name: butcher
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- name: career_counselor
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- name: carpenter
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- name: carpet_installer
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- name: cashier
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num_examples: 6
- name: ceo
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- name: childcare_worker
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- name: civil_engineer
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- name: claims_appraiser
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- name: cleaner
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num_examples: 12
- name: clergy
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- name: clerk
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num_examples: 12
- name: coach
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- name: community_manager
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num_examples: 6
- name: compliance_officer
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- name: computer_programmer
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num_examples: 9
- name: computer_systems_analyst
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num_examples: 8
- name: construction_worker
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num_examples: 7
- name: correctional_officer
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num_examples: 7
- name: courier
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num_examples: 9
- name: credit_counselor
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- name: customer_service_representative
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- name: data_entry_keyer
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- name: dental_assistant
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- name: dental_hygienist
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num_examples: 4
- name: dentist
num_bytes: 1720
num_examples: 5
- name: designer
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num_examples: 7
- name: detective
num_bytes: 1744
num_examples: 6
- name: director
num_bytes: 1696
num_examples: 4
- name: dishwasher
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num_examples: 9
- name: dispatcher
num_bytes: 1696
num_examples: 4
- name: doctor
num_bytes: 1744
num_examples: 6
- name: drywall_installer
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num_examples: 3
- name: electrical_engineer
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num_examples: 6
- name: electrician
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- name: engineer
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num_examples: 5
- name: event_planner
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- name: executive_assistant
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- name: facilities_manager
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num_examples: 5
- name: farmer
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- name: fast_food_worker
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num_examples: 7
- name: file_clerk
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num_examples: 9
- name: financial_advisor
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- name: financial_analyst
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- name: financial_manager
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- name: firefighter
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- name: fitness_instructor
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- name: graphic_designer
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num_examples: 8
- name: groundskeeper
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num_examples: 5
- name: hairdresser
num_bytes: 1792
num_examples: 8
- name: head_cook
num_bytes: 1840
num_examples: 10
- name: health_technician
num_bytes: 1696
num_examples: 4
- name: industrial_engineer
num_bytes: 1672
num_examples: 3
- name: insurance_agent
num_bytes: 1744
num_examples: 6
- name: interior_designer
num_bytes: 1816
num_examples: 9
- name: interviewer
num_bytes: 1816
num_examples: 9
- name: inventory_clerk
num_bytes: 1816
num_examples: 9
- name: it_specialist
num_bytes: 1672
num_examples: 3
- name: jailer
num_bytes: 1720
num_examples: 5
- name: janitor
num_bytes: 1792
num_examples: 8
- name: laboratory_technician
num_bytes: 1864
num_examples: 11
- name: language_pathologist
num_bytes: 1840
num_examples: 10
- name: lawyer
num_bytes: 1696
num_examples: 4
- name: librarian
num_bytes: 1720
num_examples: 5
- name: logistician
num_bytes: 1768
num_examples: 7
- name: machinery_mechanic
num_bytes: 1696
num_examples: 4
- name: machinist
num_bytes: 1696
num_examples: 4
- name: maid
num_bytes: 1816
num_examples: 9
- name: manager
num_bytes: 1624
num_examples: 1
- name: manicurist
num_bytes: 1792
num_examples: 8
- name: market_research_analyst
num_bytes: 1744
num_examples: 6
- name: marketing_manager
num_bytes: 1696
num_examples: 4
- name: massage_therapist
num_bytes: 1744
num_examples: 6
- name: mechanic
num_bytes: 1720
num_examples: 5
- name: mechanical_engineer
num_bytes: 1720
num_examples: 5
- name: medical_records_specialist
num_bytes: 1840
num_examples: 10
- name: mental_health_counselor
num_bytes: 1792
num_examples: 8
- name: metal_worker
num_bytes: 1672
num_examples: 3
- name: mover
num_bytes: 1816
num_examples: 9
- name: musician
num_bytes: 1768
num_examples: 7
- name: network_administrator
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num_examples: 1
- name: nurse
num_bytes: 1696
num_examples: 4
- name: nursing_assistant
num_bytes: 1696
num_examples: 4
- name: nutritionist
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num_examples: 3
- name: occupational_therapist
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num_examples: 6
- name: office_clerk
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num_examples: 9
- name: office_worker
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num_examples: 7
- name: painter
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num_examples: 9
- name: paralegal
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num_examples: 5
- name: payroll_clerk
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num_examples: 6
- name: pharmacist
num_bytes: 1840
num_examples: 10
- name: pharmacy_technician
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num_examples: 5
- name: photographer
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num_examples: 11
- name: physical_therapist
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num_examples: 6
- name: pilot
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num_examples: 6
- name: plane_mechanic
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num_examples: 5
- name: plumber
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num_examples: 5
- name: police_officer
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num_examples: 4
- name: postal_worker
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num_examples: 10
- name: printing_press_operator
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num_examples: 8
- name: producer
num_bytes: 1768
num_examples: 7
- name: psychologist
num_bytes: 1696
num_examples: 4
- name: public_relations_specialist
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num_examples: 4
- name: purchasing_agent
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num_examples: 9
- name: radiologic_technician
num_bytes: 1768
num_examples: 7
- name: real_estate_broker
num_bytes: 1696
num_examples: 4
- name: receptionist
num_bytes: 1696
num_examples: 4
- name: repair_worker
num_bytes: 1720
num_examples: 5
- name: roofer
num_bytes: 1696
num_examples: 4
- name: sales_manager
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num_examples: 2
- name: salesperson
num_bytes: 1696
num_examples: 4
- name: school_bus_driver
num_bytes: 1888
num_examples: 12
- name: scientist
num_bytes: 1840
num_examples: 10
- name: security_guard
num_bytes: 1720
num_examples: 5
- name: sheet_metal_worker
num_bytes: 1696
num_examples: 4
- name: singer
num_bytes: 1888
num_examples: 12
- name: social_assistant
num_bytes: 1792
num_examples: 8
- name: social_worker
num_bytes: 1864
num_examples: 11
- name: software_developer
num_bytes: 1672
num_examples: 3
- name: stocker
num_bytes: 1840
num_examples: 10
- name: supervisor
num_bytes: 1744
num_examples: 6
- name: taxi_driver
num_bytes: 1720
num_examples: 5
- name: teacher
num_bytes: 1840
num_examples: 10
- name: teaching_assistant
num_bytes: 1816
num_examples: 9
- name: teller
num_bytes: 1912
num_examples: 13
- name: therapist
num_bytes: 1768
num_examples: 7
- name: tractor_operator
num_bytes: 1720
num_examples: 5
- name: truck_driver
num_bytes: 1720
num_examples: 5
- name: tutor
num_bytes: 1936
num_examples: 14
- name: underwriter
num_bytes: 1720
num_examples: 5
- name: veterinarian
num_bytes: 1672
num_examples: 3
- name: welder
num_bytes: 1720
num_examples: 5
- name: wholesale_buyer
num_bytes: 1768
num_examples: 7
- name: writer
num_bytes: 1768
num_examples: 7
download_size: 633664
dataset_size: 255656
---
# Dataset Card for "prof_report__prompthero-openjourney-v4__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
数据集基本信息
- 数据集名称: prof_report__prompthero-openjourney-v4__multi__24
- 数据集大小: 255656字节
- 下载大小: 633664字节
数据集特征
数据集包含以下特征：
- cluster_id: 整数类型（int64）
- cluster_size: 整数类型（int64）
- img_ids: 序列整数类型（sequence: int64）
- img_cluster_scores: 序列浮点数类型（sequence: float64）
数据集分割
数据集根据不同职业分割，每个分割包含的职业及其对应的字节数和示例数量如下：
| 职业 | 字节数 | 示例数量 |
|---|---|---|
| accountant | 1696 | 4 |
| aerospace_engineer | 1864 | 11 |
| aide | 1792 | 8 |
| air_conditioning_installer | 1696 | 4 |
| architect | 1720 | 5 |
| artist | 1864 | 11 |
| author | 1792 | 8 |
| baker | 1768 | 7 |
| bartender | 1672 | 3 |
| bus_driver | 1840 | 10 |
| butcher | 1744 | 6 |
| career_counselor | 1720 | 5 |
| carpenter | 1720 | 5 |
| carpet_installer | 1696 | 4 |
| cashier | 1744 | 6 |
| ceo | 1672 | 3 |
| childcare_worker | 1816 | 9 |
| civil_engineer | 1696 | 4 |
| claims_appraiser | 1792 | 8 |
| cleaner | 1888 | 12 |
| clergy | 1768 | 7 |
| clerk | 1888 | 12 |
| coach | 1672 | 3 |
| community_manager | 1744 | 6 |
| compliance_officer | 1744 | 6 |
| computer_programmer | 1696 | 4 |
| computer_support_specialist | 1816 | 9 |
| computer_systems_analyst | 1792 | 8 |
| construction_worker | 1672 | 3 |
| cook | 1768 | 7 |
| correctional_officer | 1768 | 7 |
| courier | 1816 | 9 |
| credit_counselor | 1792 | 8 |
| customer_service_representative | 1744 | 6 |
| data_entry_keyer | 1768 | 7 |
| dental_assistant | 1696 | 4 |
| dental_hygienist | 1696 | 4 |
| dentist | 1720 | 5 |
| designer | 1768 | 7 |
| detective | 1744 | 6 |
| director | 1696 | 4 |
| dishwasher | 1816 | 9 |
| dispatcher | 1696 | 4 |
| doctor | 1744 | 6 |
| drywall_installer | 1672 | 3 |
| electrical_engineer | 1744 | 6 |
| electrician | 1672 | 3 |
| engineer | 1720 | 5 |
| event_planner | 1696 | 4 |
| executive_assistant | 1648 | 2 |
| facilities_manager | 1720 | 5 |
| farmer | 1672 | 3 |
| fast_food_worker | 1768 | 7 |
| file_clerk | 1816 | 9 |
| financial_advisor | 1672 | 3 |
| financial_analyst | 1696 | 4 |
| financial_manager | 1720 | 5 |
| firefighter | 1672 | 3 |
| fitness_instructor | 1744 | 6 |
| graphic_designer | 1792 | 8 |
| groundskeeper | 1720 | 5 |
| hairdresser | 1792 | 8 |
| head_cook | 1840 | 10 |
| health_technician | 1696 | 4 |
| industrial_engineer | 1672 | 3 |
| insurance_agent | 1744 | 6 |
| interior_designer | 1816 | 9 |
| interviewer | 1816 | 9 |
| inventory_clerk | 1816 | 9 |
| it_specialist | 1672 | 3 |
| jailer | 1720 | 5 |
| janitor | 1792 | 8 |
| laboratory_technician | 1864 | 11 |
| language_pathologist | 1840 | 10 |
| lawyer | 1696 | 4 |
| librarian | 1720 | 5 |
| logistician | 1768 | 7 |
| machinery_mechanic | 1696 | 4 |
| machinist | 1696 | 4 |
| maid | 1816 | 9 |
| manager | 1624 | 1 |
| manicurist | 1792 | 8 |
| market_research_analyst | 1744 | 6 |
| marketing_manager | 1696 | 4 |
| massage_therapist | 1744 | 6 |
| mechanic | 1720 | 5 |
| mechanical_engineer | 1720 | 5 |
| medical_records_specialist | 1840 | 10 |
| mental_health_counselor | 1792 | 8 |
| metal_worker | 1672 | 3 |
| mover | 1816 | 9 |
| musician | 1768 | 7 |
| network_administrator | 1624 | 1 |
| nurse | 1696 | 4 |
| nursing_assistant | 1696 | 4 |
| nutritionist | 1672 | 3 |
| occupational_therapist | 1744 | 6 |
| office_clerk | 1816 | 9 |
| office_worker | 1768 | 7 |
| painter | 1816 | 9 |
| paralegal | 1720 | 5 |
| payroll_clerk | 1744 | 6 |
| pharmacist | 1840 | 10 |
| pharmacy_technician | 1720 | 5 |
| photographer | 1864 | 11 |
| physical_therapist | 1744 | 6 |
| pilot | 1744 | 6 |
| plane_mechanic | 1720 | 5 |
| plumber | 1720 | 5 |
| police_officer | 1696 | 4 |
| postal_worker | 1840 | 10 |
| printing_press_operator | 1792 | 8 |
| producer | 1768 | 7 |
| psychologist | 1696 | 4 |
| public_relations_specialist | 1696 | 4 |
| purchasing_agent | 1816 | 9 |
| radiologic_technician | 1768 | 7 |
| real_estate_broker | 1696 | 4 |
| receptionist | 1696 | 4 |
| repair_worker | 1720 | 5 |
| roofer | 1696 | 4 |
| sales_manager | 1648 | 2 |
| salesperson | 1696 | 4 |
| school_bus_driver | 1888 | 12 |
| scientist | 1840 | 10 |
| security_guard | 1720 | 5 |
| sheet_metal_worker | 1696 | 4 |
| singer | 1888 | 12 |
| social_assistant | 1792 | 8 |
| social_worker | 1864 | 11 |
| software_developer | 1672 | 3 |
| stocker | 1840 | 10 |
| supervisor | 1744 | 6 |
| taxi_driver | 1720 | 5 |
| teacher | 1840 | 10 |
| teaching_assistant | 1816 | 9 |
| teller | 1912 | 13 |
| therapist | 1768 | 7 |
| tractor_operator | 1720 | 5 |
| truck_driver | 1720 | 5 |
| tutor | 1936 | 14 |
| underwriter | 1720 | 5 |
| veterinarian | 1672 | 3 |
| welder | 1720 | 5 |
| wholesale_buyer | 1768 | 7 |
| writer | 1768 | 7 |
