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README.md
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| 1 |
+
---
|
| 2 |
+
dataset_info:
|
| 3 |
+
features:
|
| 4 |
+
- name: cluster_id
|
| 5 |
+
dtype: int64
|
| 6 |
+
- name: cluster_size
|
| 7 |
+
dtype: int64
|
| 8 |
+
- name: img_ids
|
| 9 |
+
sequence: int64
|
| 10 |
+
- name: img_cluster_scores
|
| 11 |
+
sequence: float64
|
| 12 |
+
splits:
|
| 13 |
+
- name: accountant
|
| 14 |
+
num_bytes: 1744
|
| 15 |
+
num_examples: 6
|
| 16 |
+
- name: aerospace_engineer
|
| 17 |
+
num_bytes: 1936
|
| 18 |
+
num_examples: 14
|
| 19 |
+
- name: aide
|
| 20 |
+
num_bytes: 1912
|
| 21 |
+
num_examples: 13
|
| 22 |
+
- name: air_conditioning_installer
|
| 23 |
+
num_bytes: 1720
|
| 24 |
+
num_examples: 5
|
| 25 |
+
- name: architect
|
| 26 |
+
num_bytes: 1816
|
| 27 |
+
num_examples: 9
|
| 28 |
+
- name: artist
|
| 29 |
+
num_bytes: 1936
|
| 30 |
+
num_examples: 14
|
| 31 |
+
- name: author
|
| 32 |
+
num_bytes: 1768
|
| 33 |
+
num_examples: 7
|
| 34 |
+
- name: baker
|
| 35 |
+
num_bytes: 1960
|
| 36 |
+
num_examples: 15
|
| 37 |
+
- name: bartender
|
| 38 |
+
num_bytes: 1696
|
| 39 |
+
num_examples: 4
|
| 40 |
+
- name: bus_driver
|
| 41 |
+
num_bytes: 1816
|
| 42 |
+
num_examples: 9
|
| 43 |
+
- name: butcher
|
| 44 |
+
num_bytes: 1768
|
| 45 |
+
num_examples: 7
|
| 46 |
+
- name: career_counselor
|
| 47 |
+
num_bytes: 1792
|
| 48 |
+
num_examples: 8
|
| 49 |
+
- name: carpenter
|
| 50 |
+
num_bytes: 1768
|
| 51 |
+
num_examples: 7
|
| 52 |
+
- name: carpet_installer
|
| 53 |
+
num_bytes: 1696
|
| 54 |
+
num_examples: 4
|
| 55 |
+
- name: cashier
|
| 56 |
+
num_bytes: 1888
|
| 57 |
+
num_examples: 12
|
| 58 |
+
- name: ceo
|
| 59 |
+
num_bytes: 1792
|
| 60 |
+
num_examples: 8
|
| 61 |
+
- name: childcare_worker
|
| 62 |
+
num_bytes: 1840
|
| 63 |
+
num_examples: 10
|
| 64 |
+
- name: civil_engineer
|
| 65 |
+
num_bytes: 1792
|
| 66 |
+
num_examples: 8
|
| 67 |
+
- name: claims_appraiser
|
| 68 |
+
num_bytes: 1744
|
| 69 |
+
num_examples: 6
|
| 70 |
+
- name: cleaner
|
| 71 |
+
num_bytes: 1888
|
| 72 |
+
num_examples: 12
|
| 73 |
+
- name: clergy
|
| 74 |
+
num_bytes: 1816
|
| 75 |
+
num_examples: 9
|
| 76 |
+
- name: clerk
|
| 77 |
+
num_bytes: 1984
|
| 78 |
+
num_examples: 16
|
| 79 |
+
- name: coach
|
| 80 |
+
num_bytes: 1768
|
| 81 |
+
num_examples: 7
|
| 82 |
+
- name: community_manager
|
| 83 |
+
num_bytes: 1792
|
| 84 |
+
num_examples: 8
|
| 85 |
+
- name: compliance_officer
|
| 86 |
+
num_bytes: 1816
|
| 87 |
+
num_examples: 9
|
| 88 |
+
- name: computer_programmer
|
| 89 |
+
num_bytes: 1720
|
| 90 |
+
num_examples: 5
|
| 91 |
+
- name: computer_support_specialist
|
| 92 |
+
num_bytes: 1792
|
| 93 |
+
num_examples: 8
|
| 94 |
+
- name: computer_systems_analyst
|
| 95 |
+
num_bytes: 1744
|
| 96 |
+
num_examples: 6
|
| 97 |
+
- name: construction_worker
|
| 98 |
+
num_bytes: 1768
|
| 99 |
+
num_examples: 7
|
| 100 |
+
- name: cook
|
| 101 |
+
num_bytes: 1864
|
| 102 |
+
num_examples: 11
|
| 103 |
+
- name: correctional_officer
|
| 104 |
+
num_bytes: 1816
|
| 105 |
+
num_examples: 9
|
| 106 |
+
- name: courier
|
| 107 |
+
num_bytes: 1984
|
| 108 |
+
num_examples: 16
|
| 109 |
+
- name: credit_counselor
|
| 110 |
+
num_bytes: 1864
|
| 111 |
+
num_examples: 11
|
| 112 |
+
- name: customer_service_representative
|
| 113 |
+
num_bytes: 1792
|
| 114 |
+
num_examples: 8
|
| 115 |
+
- name: data_entry_keyer
|
| 116 |
+
num_bytes: 1840
|
| 117 |
+
num_examples: 10
|
| 118 |
+
- name: dental_assistant
|
| 119 |
+
num_bytes: 1744
|
| 120 |
+
num_examples: 6
|
| 121 |
+
- name: dental_hygienist
|
| 122 |
+
num_bytes: 1696
|
| 123 |
+
num_examples: 4
|
| 124 |
+
- name: dentist
|
| 125 |
+
num_bytes: 1744
|
| 126 |
+
num_examples: 6
|
| 127 |
+
- name: designer
|
| 128 |
+
num_bytes: 1864
|
| 129 |
+
num_examples: 11
|
| 130 |
+
- name: detective
|
| 131 |
+
num_bytes: 1744
|
| 132 |
+
num_examples: 6
|
| 133 |
+
- name: director
|
| 134 |
+
num_bytes: 1816
|
| 135 |
+
num_examples: 9
|
| 136 |
+
- name: dishwasher
|
| 137 |
+
num_bytes: 1864
|
| 138 |
+
num_examples: 11
|
| 139 |
+
- name: dispatcher
|
| 140 |
+
num_bytes: 1768
|
| 141 |
+
num_examples: 7
|
| 142 |
+
- name: doctor
|
| 143 |
+
num_bytes: 1816
|
| 144 |
+
num_examples: 9
|
| 145 |
+
- name: drywall_installer
|
| 146 |
+
num_bytes: 1696
|
| 147 |
+
num_examples: 4
|
| 148 |
+
- name: electrical_engineer
|
| 149 |
+
num_bytes: 1816
|
| 150 |
+
num_examples: 9
|
| 151 |
+
- name: electrician
|
| 152 |
+
num_bytes: 1696
|
| 153 |
+
num_examples: 4
|
| 154 |
+
- name: engineer
|
| 155 |
+
num_bytes: 1744
|
| 156 |
+
num_examples: 6
|
| 157 |
+
- name: event_planner
|
| 158 |
+
num_bytes: 1720
|
| 159 |
+
num_examples: 5
|
| 160 |
+
- name: executive_assistant
|
| 161 |
+
num_bytes: 1696
|
| 162 |
+
num_examples: 4
|
| 163 |
+
- name: facilities_manager
|
| 164 |
+
num_bytes: 1792
|
| 165 |
+
num_examples: 8
|
| 166 |
+
- name: farmer
|
| 167 |
+
num_bytes: 1696
|
| 168 |
+
num_examples: 4
|
| 169 |
+
- name: fast_food_worker
|
| 170 |
+
num_bytes: 1912
|
| 171 |
+
num_examples: 13
|
| 172 |
+
- name: file_clerk
|
| 173 |
+
num_bytes: 1864
|
| 174 |
+
num_examples: 11
|
| 175 |
+
- name: financial_advisor
|
| 176 |
+
num_bytes: 1672
|
| 177 |
+
num_examples: 3
|
| 178 |
+
- name: financial_analyst
|
| 179 |
+
num_bytes: 1768
|
| 180 |
+
num_examples: 7
|
| 181 |
+
- name: financial_manager
|
| 182 |
+
num_bytes: 1768
|
| 183 |
+
num_examples: 7
|
| 184 |
+
- name: firefighter
|
| 185 |
+
num_bytes: 1696
|
| 186 |
+
num_examples: 4
|
| 187 |
+
- name: fitness_instructor
|
| 188 |
+
num_bytes: 1720
|
| 189 |
+
num_examples: 5
|
| 190 |
+
- name: graphic_designer
|
| 191 |
+
num_bytes: 1840
|
| 192 |
+
num_examples: 10
|
| 193 |
+
- name: groundskeeper
|
| 194 |
+
num_bytes: 1720
|
| 195 |
+
num_examples: 5
|
| 196 |
+
- name: hairdresser
|
| 197 |
+
num_bytes: 1792
|
| 198 |
+
num_examples: 8
|
| 199 |
+
- name: head_cook
|
| 200 |
+
num_bytes: 1840
|
| 201 |
+
num_examples: 10
|
| 202 |
+
- name: health_technician
|
| 203 |
+
num_bytes: 1840
|
| 204 |
+
num_examples: 10
|
| 205 |
+
- name: industrial_engineer
|
| 206 |
+
num_bytes: 1744
|
| 207 |
+
num_examples: 6
|
| 208 |
+
- name: insurance_agent
|
| 209 |
+
num_bytes: 1768
|
| 210 |
+
num_examples: 7
|
| 211 |
+
- name: interior_designer
|
| 212 |
+
num_bytes: 1840
|
| 213 |
+
num_examples: 10
|
| 214 |
+
- name: interviewer
|
| 215 |
+
num_bytes: 1840
|
| 216 |
+
num_examples: 10
|
| 217 |
+
- name: inventory_clerk
|
| 218 |
+
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| 439 |
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| 445 |
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|
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num_examples: 9
|
| 451 |
+
download_size: 635999
|
| 452 |
+
dataset_size: 262520
|
| 453 |
+
---
|
| 454 |
+
# Dataset Card for "prof_report__plasmo-vox2__multi__24"
|
| 455 |
+
|
| 456 |
+
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|