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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: 1768
|
15 |
+
num_examples: 7
|
16 |
+
- name: aerospace_engineer
|
17 |
+
num_bytes: 1912
|
18 |
+
num_examples: 13
|
19 |
+
- name: aide
|
20 |
+
num_bytes: 1816
|
21 |
+
num_examples: 9
|
22 |
+
- name: air_conditioning_installer
|
23 |
+
num_bytes: 1696
|
24 |
+
num_examples: 4
|
25 |
+
- name: architect
|
26 |
+
num_bytes: 1840
|
27 |
+
num_examples: 10
|
28 |
+
- name: artist
|
29 |
+
num_bytes: 1888
|
30 |
+
num_examples: 12
|
31 |
+
- name: author
|
32 |
+
num_bytes: 1816
|
33 |
+
num_examples: 9
|
34 |
+
- name: baker
|
35 |
+
num_bytes: 1888
|
36 |
+
num_examples: 12
|
37 |
+
- name: bartender
|
38 |
+
num_bytes: 1720
|
39 |
+
num_examples: 5
|
40 |
+
- name: bus_driver
|
41 |
+
num_bytes: 1936
|
42 |
+
num_examples: 14
|
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: 1840
|
57 |
+
num_examples: 10
|
58 |
+
- name: ceo
|
59 |
+
num_bytes: 1744
|
60 |
+
num_examples: 6
|
61 |
+
- name: childcare_worker
|
62 |
+
num_bytes: 1792
|
63 |
+
num_examples: 8
|
64 |
+
- name: civil_engineer
|
65 |
+
num_bytes: 1744
|
66 |
+
num_examples: 6
|
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: 1912
|
78 |
+
num_examples: 13
|
79 |
+
- name: coach
|
80 |
+
num_bytes: 1744
|
81 |
+
num_examples: 6
|
82 |
+
- name: community_manager
|
83 |
+
num_bytes: 1720
|
84 |
+
num_examples: 5
|
85 |
+
- name: compliance_officer
|
86 |
+
num_bytes: 1792
|
87 |
+
num_examples: 8
|
88 |
+
- name: computer_programmer
|
89 |
+
num_bytes: 1816
|
90 |
+
num_examples: 9
|
91 |
+
- name: computer_support_specialist
|
92 |
+
num_bytes: 1816
|
93 |
+
num_examples: 9
|
94 |
+
- name: computer_systems_analyst
|
95 |
+
num_bytes: 1888
|
96 |
+
num_examples: 12
|
97 |
+
- name: construction_worker
|
98 |
+
num_bytes: 1696
|
99 |
+
num_examples: 4
|
100 |
+
- name: cook
|
101 |
+
num_bytes: 1816
|
102 |
+
num_examples: 9
|
103 |
+
- name: correctional_officer
|
104 |
+
num_bytes: 1816
|
105 |
+
num_examples: 9
|
106 |
+
- name: courier
|
107 |
+
num_bytes: 1912
|
108 |
+
num_examples: 13
|
109 |
+
- name: credit_counselor
|
110 |
+
num_bytes: 1840
|
111 |
+
num_examples: 10
|
112 |
+
- name: customer_service_representative
|
113 |
+
num_bytes: 1768
|
114 |
+
num_examples: 7
|
115 |
+
- name: data_entry_keyer
|
116 |
+
num_bytes: 1792
|
117 |
+
num_examples: 8
|
118 |
+
- name: dental_assistant
|
119 |
+
num_bytes: 1696
|
120 |
+
num_examples: 4
|
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: 1840
|
129 |
+
num_examples: 10
|
130 |
+
- name: detective
|
131 |
+
num_bytes: 1744
|
132 |
+
num_examples: 6
|
133 |
+
- name: director
|
134 |
+
num_bytes: 1864
|
135 |
+
num_examples: 11
|
136 |
+
- name: dishwasher
|
137 |
+
num_bytes: 1864
|
138 |
+
num_examples: 11
|
139 |
+
- name: dispatcher
|
140 |
+
num_bytes: 1792
|
141 |
+
num_examples: 8
|
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: 1672
|
153 |
+
num_examples: 3
|
154 |
+
- name: engineer
|
155 |
+
num_bytes: 1768
|
156 |
+
num_examples: 7
|
157 |
+
- name: event_planner
|
158 |
+
num_bytes: 1672
|
159 |
+
num_examples: 3
|
160 |
+
- name: executive_assistant
|
161 |
+
num_bytes: 1696
|
162 |
+
num_examples: 4
|
163 |
+
- name: facilities_manager
|
164 |
+
num_bytes: 1744
|
165 |
+
num_examples: 6
|
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: 1888
|
174 |
+
num_examples: 12
|
175 |
+
- name: financial_advisor
|
176 |
+
num_bytes: 1744
|
177 |
+
num_examples: 6
|
178 |
+
- name: financial_analyst
|
179 |
+
num_bytes: 1744
|
180 |
+
num_examples: 6
|
181 |
+
- name: financial_manager
|
182 |
+
num_bytes: 1696
|
183 |
+
num_examples: 4
|
184 |
+
- name: firefighter
|
185 |
+
num_bytes: 1720
|
186 |
+
num_examples: 5
|
187 |
+
- name: fitness_instructor
|
188 |
+
num_bytes: 1792
|
189 |
+
num_examples: 8
|
190 |
+
- name: graphic_designer
|
191 |
+
num_bytes: 1840
|
192 |
+
num_examples: 10
|
193 |
+
- name: groundskeeper
|
194 |
+
num_bytes: 1744
|
195 |
+
num_examples: 6
|
196 |
+
- name: hairdresser
|
197 |
+
num_bytes: 1816
|
198 |
+
num_examples: 9
|
199 |
+
- name: head_cook
|
200 |
+
num_bytes: 1840
|
201 |
+
num_examples: 10
|
202 |
+
- name: health_technician
|
203 |
+
num_bytes: 1744
|
204 |
+
num_examples: 6
|
205 |
+
- name: industrial_engineer
|
206 |
+
num_bytes: 1720
|
207 |
+
num_examples: 5
|
208 |
+
- name: insurance_agent
|
209 |
+
num_bytes: 1840
|
210 |
+
num_examples: 10
|
211 |
+
- name: interior_designer
|
212 |
+
num_bytes: 1768
|
213 |
+
num_examples: 7
|
214 |
+
- name: interviewer
|
215 |
+
num_bytes: 1840
|
216 |
+
num_examples: 10
|
217 |
+
- name: inventory_clerk
|
218 |
+
num_bytes: 1888
|
219 |
+
num_examples: 12
|
220 |
+
- name: it_specialist
|
221 |
+
num_bytes: 1696
|
222 |
+
num_examples: 4
|
223 |
+
- name: jailer
|
224 |
+
num_bytes: 1864
|
225 |
+
num_examples: 11
|
226 |
+
- name: janitor
|
227 |
+
num_bytes: 1816
|
228 |
+
num_examples: 9
|
229 |
+
- name: laboratory_technician
|
230 |
+
num_bytes: 1912
|
231 |
+
num_examples: 13
|
232 |
+
- name: language_pathologist
|
233 |
+
num_bytes: 1816
|
234 |
+
num_examples: 9
|
235 |
+
- name: lawyer
|
236 |
+
num_bytes: 1840
|
237 |
+
num_examples: 10
|
238 |
+
- name: librarian
|
239 |
+
num_bytes: 1816
|
240 |
+
num_examples: 9
|
241 |
+
- name: logistician
|
242 |
+
num_bytes: 1768
|
243 |
+
num_examples: 7
|
244 |
+
- name: machinery_mechanic
|
245 |
+
num_bytes: 1744
|
246 |
+
num_examples: 6
|
247 |
+
- name: machinist
|
248 |
+
num_bytes: 1792
|
249 |
+
num_examples: 8
|
250 |
+
- name: maid
|
251 |
+
num_bytes: 1792
|
252 |
+
num_examples: 8
|
253 |
+
- name: manager
|
254 |
+
num_bytes: 1744
|
255 |
+
num_examples: 6
|
256 |
+
- name: manicurist
|
257 |
+
num_bytes: 1816
|
258 |
+
num_examples: 9
|
259 |
+
- name: market_research_analyst
|
260 |
+
num_bytes: 1792
|
261 |
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num_examples: 8
|
262 |
+
- name: marketing_manager
|
263 |
+
num_bytes: 1696
|
264 |
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num_examples: 4
|
265 |
+
- name: massage_therapist
|
266 |
+
num_bytes: 1768
|
267 |
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num_examples: 7
|
268 |
+
- name: mechanic
|
269 |
+
num_bytes: 1768
|
270 |
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num_examples: 7
|
271 |
+
- name: mechanical_engineer
|
272 |
+
num_bytes: 1744
|
273 |
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num_examples: 6
|
274 |
+
- name: medical_records_specialist
|
275 |
+
num_bytes: 1840
|
276 |
+
num_examples: 10
|
277 |
+
- name: mental_health_counselor
|
278 |
+
num_bytes: 1888
|
279 |
+
num_examples: 12
|
280 |
+
- name: metal_worker
|
281 |
+
num_bytes: 1840
|
282 |
+
num_examples: 10
|
283 |
+
- name: mover
|
284 |
+
num_bytes: 1864
|
285 |
+
num_examples: 11
|
286 |
+
- name: musician
|
287 |
+
num_bytes: 1864
|
288 |
+
num_examples: 11
|
289 |
+
- name: network_administrator
|
290 |
+
num_bytes: 1648
|
291 |
+
num_examples: 2
|
292 |
+
- name: nurse
|
293 |
+
num_bytes: 1744
|
294 |
+
num_examples: 6
|
295 |
+
- name: nursing_assistant
|
296 |
+
num_bytes: 1744
|
297 |
+
num_examples: 6
|
298 |
+
- name: nutritionist
|
299 |
+
num_bytes: 1720
|
300 |
+
num_examples: 5
|
301 |
+
- name: occupational_therapist
|
302 |
+
num_bytes: 1744
|
303 |
+
num_examples: 6
|
304 |
+
- name: office_clerk
|
305 |
+
num_bytes: 1816
|
306 |
+
num_examples: 9
|
307 |
+
- name: office_worker
|
308 |
+
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download_size: 636051
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dataset_size: 262112
|
453 |
+
---
|
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+
# Dataset Card for "prof_report__runwayml-stable-diffusion-v1-5__multi__24"
|
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+
|
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+
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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