File size: 9,840 Bytes
e5c2d20 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 |
---
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: 1912
num_examples: 13
- name: aide
num_bytes: 1816
num_examples: 9
- name: air_conditioning_installer
num_bytes: 1696
num_examples: 4
- name: architect
num_bytes: 1840
num_examples: 10
- name: artist
num_bytes: 1888
num_examples: 12
- name: author
num_bytes: 1816
num_examples: 9
- name: baker
num_bytes: 1888
num_examples: 12
- name: bartender
num_bytes: 1720
num_examples: 5
- name: bus_driver
num_bytes: 1936
num_examples: 14
- name: butcher
num_bytes: 1768
num_examples: 7
- name: career_counselor
num_bytes: 1792
num_examples: 8
- name: carpenter
num_bytes: 1768
num_examples: 7
- name: carpet_installer
num_bytes: 1696
num_examples: 4
- name: cashier
num_bytes: 1840
num_examples: 10
- name: ceo
num_bytes: 1744
num_examples: 6
- name: childcare_worker
num_bytes: 1792
num_examples: 8
- name: civil_engineer
num_bytes: 1744
num_examples: 6
- name: claims_appraiser
num_bytes: 1744
num_examples: 6
- name: cleaner
num_bytes: 1888
num_examples: 12
- name: clergy
num_bytes: 1816
num_examples: 9
- name: clerk
num_bytes: 1912
num_examples: 13
- name: coach
num_bytes: 1744
num_examples: 6
- name: community_manager
num_bytes: 1720
num_examples: 5
- name: compliance_officer
num_bytes: 1792
num_examples: 8
- name: computer_programmer
num_bytes: 1816
num_examples: 9
- name: computer_support_specialist
num_bytes: 1816
num_examples: 9
- name: computer_systems_analyst
num_bytes: 1888
num_examples: 12
- name: construction_worker
num_bytes: 1696
num_examples: 4
- name: cook
num_bytes: 1816
num_examples: 9
- name: correctional_officer
num_bytes: 1816
num_examples: 9
- name: courier
num_bytes: 1912
num_examples: 13
- name: credit_counselor
num_bytes: 1840
num_examples: 10
- name: customer_service_representative
num_bytes: 1768
num_examples: 7
- name: data_entry_keyer
num_bytes: 1792
num_examples: 8
- name: dental_assistant
num_bytes: 1696
num_examples: 4
- name: dental_hygienist
num_bytes: 1696
num_examples: 4
- name: dentist
num_bytes: 1744
num_examples: 6
- name: designer
num_bytes: 1840
num_examples: 10
- name: detective
num_bytes: 1744
num_examples: 6
- name: director
num_bytes: 1864
num_examples: 11
- name: dishwasher
num_bytes: 1864
num_examples: 11
- name: dispatcher
num_bytes: 1792
num_examples: 8
- name: doctor
num_bytes: 1816
num_examples: 9
- name: drywall_installer
num_bytes: 1696
num_examples: 4
- name: electrical_engineer
num_bytes: 1816
num_examples: 9
- name: electrician
num_bytes: 1672
num_examples: 3
- name: engineer
num_bytes: 1768
num_examples: 7
- name: event_planner
num_bytes: 1672
num_examples: 3
- name: executive_assistant
num_bytes: 1696
num_examples: 4
- name: facilities_manager
num_bytes: 1744
num_examples: 6
- name: farmer
num_bytes: 1696
num_examples: 4
- name: fast_food_worker
num_bytes: 1912
num_examples: 13
- name: file_clerk
num_bytes: 1888
num_examples: 12
- name: financial_advisor
num_bytes: 1744
num_examples: 6
- name: financial_analyst
num_bytes: 1744
num_examples: 6
- name: financial_manager
num_bytes: 1696
num_examples: 4
- name: firefighter
num_bytes: 1720
num_examples: 5
- name: fitness_instructor
num_bytes: 1792
num_examples: 8
- name: graphic_designer
num_bytes: 1840
num_examples: 10
- name: groundskeeper
num_bytes: 1744
num_examples: 6
- name: hairdresser
num_bytes: 1816
num_examples: 9
- name: head_cook
num_bytes: 1840
num_examples: 10
- name: health_technician
num_bytes: 1744
num_examples: 6
- name: industrial_engineer
num_bytes: 1720
num_examples: 5
- name: insurance_agent
num_bytes: 1840
num_examples: 10
- name: interior_designer
num_bytes: 1768
num_examples: 7
- name: interviewer
num_bytes: 1840
num_examples: 10
- name: inventory_clerk
num_bytes: 1888
num_examples: 12
- name: it_specialist
num_bytes: 1696
num_examples: 4
- name: jailer
num_bytes: 1864
num_examples: 11
- name: janitor
num_bytes: 1816
num_examples: 9
- name: laboratory_technician
num_bytes: 1912
num_examples: 13
- name: language_pathologist
num_bytes: 1816
num_examples: 9
- name: lawyer
num_bytes: 1840
num_examples: 10
- name: librarian
num_bytes: 1816
num_examples: 9
- name: logistician
num_bytes: 1768
num_examples: 7
- name: machinery_mechanic
num_bytes: 1744
num_examples: 6
- name: machinist
num_bytes: 1792
num_examples: 8
- name: maid
num_bytes: 1792
num_examples: 8
- name: manager
num_bytes: 1744
num_examples: 6
- name: manicurist
num_bytes: 1816
num_examples: 9
- name: market_research_analyst
num_bytes: 1792
num_examples: 8
- name: marketing_manager
num_bytes: 1696
num_examples: 4
- name: massage_therapist
num_bytes: 1768
num_examples: 7
- name: mechanic
num_bytes: 1768
num_examples: 7
- name: mechanical_engineer
num_bytes: 1744
num_examples: 6
- name: medical_records_specialist
num_bytes: 1840
num_examples: 10
- name: mental_health_counselor
num_bytes: 1888
num_examples: 12
- name: metal_worker
num_bytes: 1840
num_examples: 10
- name: mover
num_bytes: 1864
num_examples: 11
- name: musician
num_bytes: 1864
num_examples: 11
- name: network_administrator
num_bytes: 1648
num_examples: 2
- name: nurse
num_bytes: 1744
num_examples: 6
- name: nursing_assistant
num_bytes: 1744
num_examples: 6
- name: nutritionist
num_bytes: 1720
num_examples: 5
- name: occupational_therapist
num_bytes: 1744
num_examples: 6
- name: office_clerk
num_bytes: 1816
num_examples: 9
- name: office_worker
num_bytes: 1840
num_examples: 10
- name: painter
num_bytes: 1888
num_examples: 12
- name: paralegal
num_bytes: 1744
num_examples: 6
- name: payroll_clerk
num_bytes: 1744
num_examples: 6
- name: pharmacist
num_bytes: 1864
num_examples: 11
- name: pharmacy_technician
num_bytes: 1720
num_examples: 5
- name: photographer
num_bytes: 1888
num_examples: 12
- name: physical_therapist
num_bytes: 1816
num_examples: 9
- name: pilot
num_bytes: 1792
num_examples: 8
- name: plane_mechanic
num_bytes: 1792
num_examples: 8
- name: plumber
num_bytes: 1720
num_examples: 5
- name: police_officer
num_bytes: 1768
num_examples: 7
- name: postal_worker
num_bytes: 1816
num_examples: 9
- name: printing_press_operator
num_bytes: 1816
num_examples: 9
- name: producer
num_bytes: 1912
num_examples: 13
- name: psychologist
num_bytes: 1792
num_examples: 8
- name: public_relations_specialist
num_bytes: 1672
num_examples: 3
- name: purchasing_agent
num_bytes: 1840
num_examples: 10
- name: radiologic_technician
num_bytes: 1816
num_examples: 9
- name: real_estate_broker
num_bytes: 1744
num_examples: 6
- name: receptionist
num_bytes: 1672
num_examples: 3
- name: repair_worker
num_bytes: 1768
num_examples: 7
- name: roofer
num_bytes: 1696
num_examples: 4
- name: sales_manager
num_bytes: 1720
num_examples: 5
- name: salesperson
num_bytes: 1768
num_examples: 7
- name: school_bus_driver
num_bytes: 1912
num_examples: 13
- name: scientist
num_bytes: 1792
num_examples: 8
- name: security_guard
num_bytes: 1720
num_examples: 5
- name: sheet_metal_worker
num_bytes: 1768
num_examples: 7
- name: singer
num_bytes: 1840
num_examples: 10
- name: social_assistant
num_bytes: 1888
num_examples: 12
- name: social_worker
num_bytes: 1960
num_examples: 15
- name: software_developer
num_bytes: 1720
num_examples: 5
- name: stocker
num_bytes: 1936
num_examples: 14
- name: supervisor
num_bytes: 1768
num_examples: 7
- name: taxi_driver
num_bytes: 1816
num_examples: 9
- name: teacher
num_bytes: 1936
num_examples: 14
- name: teaching_assistant
num_bytes: 1864
num_examples: 11
- name: teller
num_bytes: 2008
num_examples: 17
- name: therapist
num_bytes: 1816
num_examples: 9
- name: tractor_operator
num_bytes: 1696
num_examples: 4
- name: truck_driver
num_bytes: 1720
num_examples: 5
- name: tutor
num_bytes: 1960
num_examples: 15
- name: underwriter
num_bytes: 1816
num_examples: 9
- name: veterinarian
num_bytes: 1744
num_examples: 6
- name: welder
num_bytes: 1696
num_examples: 4
- name: wholesale_buyer
num_bytes: 1840
num_examples: 10
- name: writer
num_bytes: 1840
num_examples: 10
download_size: 636051
dataset_size: 262112
---
# Dataset Card for "prof_report__runwayml-stable-diffusion-v1-5__multi__24"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |