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gitextract__p4_xoev/
├── LICENSE
├── README.md
└── category_id.txt
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FILE CONTENTS
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================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
## Polyvore Dataset
Dataset used in ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs" [[paper]](https://arxiv.org/pdf/1707.05691.pdf) [[code]](https://github.com/xthan/polyvore)
This dataset is also available on [Google Drive](https://drive.google.com/drive/folders/0B4Eo9mft9jwoVDNEWlhEbUNUSE0?resourcekey=0-vQg9TMSLKnmPCuuWwl5Ebw&usp=sharing).
Original Images can be downloaded on [Kaggle]( https://www.kaggle.com/datasets/dnepozitek/maryland-polyvore-images/data).
**A clean version of this dataset can be found:** [**Cleaned Maryland**](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-maryland.md)
You may be interested in a new dataset [A100 dataset](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/A100.md), which measures the aesthetic ability of an AI model.
### Contact
Author: Xintong Han
Contact: xintong@umd.edu
### Polyvore.com
Polyvore.com is a popular fashion website, where users can create and upload outfit data. This website has been acquired by SSense, and the URLs in the dataset are no longer available.
### Dataset
Download and decompress polyvore.tar.gz.
#### Polyvore outfits
This dataset contains 21,889 outfits from polyvore.com, of which 17,316 are for training, 1,497 for validation, and 3,076 for testing. The train, validation, and test outfits are in {train,valid,test}_no_dup.json, respectively.
Each JSON item has the following information:
{
"name": Name of the outfit,
"views": Number of views of the outfit,
"items": [
Fashion items in the outfit.
{
"index": Index of the fashion item in this outfit on Polyvore,
"name": Description of the fashion item,
"price": Price of the fashion item (usually in US dollars),
"likes": Number of likes of the item,
"image": Image url of the item,
"categoryid": Category ID of the item,
},
{
...
},
...
],
"image": Outfit image url,
"likes": Number of likes of the outfit,
"date": Upload date of the outfit,
"set_url": Outfit url,
"set_id": Outfit ID,
"desc": Outfit description.
}
The image URLs are no longer available and they can be accessed on an unofficial [Kaggle page]( https://www.kaggle.com/datasets/dnepozitek/maryland-polyvore-images/data). This file contains the images of 33,375 outfits, which include all 21,889 outfits in polyvore dataset. The other ~11k outfits were uploaded more than 3 years ago. We are afraid that they are out-of-fashion so we do not use them).
[category_id.txt](https://github.com/xthan/polyvore-dataset/blob/master/category_id.txt) contains the mapping between category ID and category name. Thanks [Zhenyu](https://github.com/zyyang) for providing it!
#### Fill-in-the-blank Fashion Recommendation
fill_in_the_blank_test.json contains the questions used to evaluate the fill-in-the-blank fashion recommendation task. It follows the following format:
{
"question": Fashion item sequence to form the question,
"answers": Multiple choice set to choose from,
"blank_position": The blank position to be filled in.
},
The name of a fashion item is SetID_ItemIndex, _e.g._, 119704139_1 is the fashion item with "index" 1 in the outfit with "set_id" 119704139. The first answer in "answers" is the correct one (_i.e.,_ the original fashion item in the outfit).
#### Fashion Compatibility Prediction
fashion-compatibility-prediction.txt contains ~7,000 outfits, where 4,000 are incompatible and 3,000 are compatible.
In each line, the first number indicates compatibility (1 is compatible, 0 is not) followed by a sequence of fashion items consisting of the outfit.
### Some Notes
0. These outfits are crawled around 02/19/2017, so you can estimate the exact upload date of an outfit by looking at the "date" field.
0. For outfits that contain too many fashion items, we only keep their first 8 items.
0. We delete the fashion items with non-fashion "categoryid" such as background, texts, and decorations. As a result, the indices of items in an outfit may not be consecutive.
### Citation
If this dataset helps your research, please cite our paper:
@inproceedings{han2017learning,
author = {Han, Xintong and Wu, Zuxuan and Jiang, Yu-Gang and Davis, Larry S},
title = {Learning Fashion Compatibility with Bidirectional LSTMs},
booktitle = {ACM Multimedia},
year = {2017},
}
### Other Datasets from Polyvore.com
There are several datasets crawled from Polyvore.com:
0. The Elements of Fashion Style. [[paper]](http://ranjithakumar.net/resources/vaccaro-uist2016-fashion.pdf) [[dataset]](https://github.com/kristenvaccaro/fashion-data)
0. Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. [[paper]](https://arxiv.org/pdf/1608.03016.pdf) [[dataset]](https://github.com/raingo/outfit)
0. NeuroStylist: Neural Compatibility Modeling for Clothing Matching. [[paper]](https://drive.google.com/file/d/0B9ef99fUwsVZbjIxNUlKTFZMWUU/view) [[dataset]](http://neurostylist.farbox.com/)
0. Learning Type-Aware Embeddings for Fashion Compatibility. [[paper]](https://arxiv.org/pdf/1803.09196.pdf)[[dataset]](https://github.com/mvasil/fashion-compatibility)[[cleaned dataset]](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/cleaned-type.md)
0. How Good Is Aesthetic Ability of a Fashion Model? [[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Zou_How_Good_Is_Aesthetic_Ability_of_a_Fashion_Model_CVPR_2022_paper.pdf)[[dataset]](https://github.com/AemikaChow/AiDLab-fAshIon-Data/blob/main/Datasets/A100.md)
================================================
FILE: category_id.txt
================================================
2 Clothing
3 Dresses
4 Day Dresses
5 Cocktail Dresses
6 Gowns
7 Skirts
8 Mini Skirts
9 Knee Length Skirts
10 Long Skirts
11 Tops
15 Tunics
17 Blouses
18 Cardigans
19 Sweaters
21 T-Shirts
23 Outerwear
24 Coats
25 Jackets
26 Vests
27 Jeans
28 Pants
29 Shorts
30 Suits
31 Swimwear
33 Activewear
35 Bags
36 Tote Bags
37 Shoulder Bags
38 Clutches
39 Luggage
40 Wallets
41 Shoes
42 Boots
43 Pumps
46 Sandals
47 Flats
48 Flip Flops
49 Sneakers
50 Slippers
51 Accessories
52 Belts
53 Gloves
55 Hats
56 Ties
57 Sunglasses
58 Hair Accessories
59 Umbrellas
60 Jewelry
61 Watches
62 Necklaces
64 Earrings
65 Rings
343 Men's Tank Tops
67 Brooches
68 Hosiery
69 Socks
71 Men's Fashion
74 Beauty Products
75 Costumes
76 Electronics
77 Font
78 Food & Drink
85 Sleepwear
93 Makeup
94 Skincare
95 Fragrance
96 Bath & Body
97 Haircare
98 Nail Care
99 Beauty Accessories
101 Maternity
102 Baby
104 Tank Tops
105 Scarves
106 Bracelets & Bangles
107 Charms & Pendants
108 Intimates
110 Sports & Outdoors
113 Furniture
115 Sofas
116 Accent Chairs
118 Accent Tables
120 Ottomans
122 Tables
123 Chairs
124 Barstools
126 Beds
127 Dressers
129 Storage & Shelves
130 Bookcases
132 Entertainment Units
135 Lighting
136 Rugs
139 Vases
140 Candles & Candleholders
141 Frames
143 Mirrors
144 Throw Pillows
4241 Fabric
4242 Flooring
147 Office Chairs
4244 Holiday Decorations
150 Hammocks & Swings
4247 Decorative Hardware
4248 Home Fragrance
153 Outdoor Loungers & Day Beds
154 Patio Umbrellas
155 Outdoor Benches
157 Garden Fountains
4254 Small Storage
159 Bedding
160 Sheets & Pillowcases
4257 Wallpaper
162 Blankets
163 Duvet Covers
164 Bed Pillows
166 Bath
167 Bath Towels
168 Shower Curtains
169 Bath Rugs & Mats
170 Bath Accessories
4267 Outdoor Decor
172 Bakeware
173 Cutlery
174 Small Appliances
175 Cookware
176 Kitchen Gadgets & Tools
177 Drinkware
178 Flatware
179 Serveware
180 Table Linens
181 Panel Screens
182 Home Decor
184 Face Makeup
185 Cheek Makeup
186 Eye Makeup
187 Lip Makeup
188 Concealer
189 Foundation
190 Face Powder
191 Tinted Moisturizer
192 Makeup Remover
193 Makeup Primer
194 Blush
195 Cheek Bronzer
4292 Beach Towels
197 Mascara
198 False Eyelashes
199 Eyeliner
200 Lipstick
201 Lip Gloss
202 Lip Pencils
203 Lip Stain
204 Face Care
205 Face Cleansers
206 Face Toners
207 Face Moisturizers
208 Face Masks
209 Eye Care
211 Lip Treatments
213 Body Cleansers
214 Body Moisturizers
216 Hair Removal
217 Sun Care
218 Hair Shampoo
219 Hair Conditioner
220 Styling Products
221 Hair Color
222 Nail Polish
223 Nail Treatments
224 Eyelash Curlers
225 Tweezers & Brow Tools
226 Sharpeners
227 Hair Styling Tools
228 Blow Dryers & Irons
229 Brushes & Combs
231 Bags & Cases
236 Blazers
237 Skinny Jeans
238 Bootcut Jeans
239 Wide Leg Jeans
240 Boyfriend Jeans
241 Leggings
243 Jumpsuits
244 Rompers
245 Bras
246 Panties & Thongs
247 Camisoles
248 Chemises
249 Pajamas
250 Robes
251 Tights
252 Activewear Tops
253 Activewear Pants
254 Activewear Skirts
255 Activewear Shorts
256 Activewear Jackets
257 Sports Bras
258 Messenger Bags
259 Backpacks
260 Briefcases
261 Ankle Booties
262 Mid Calf Boots
263 Knee High Boots
264 Over-The-Knee Boots
265 Loafers & Moccasins
266 Oxfords
267 Clogs
268 Athletic Shoes
270 Sports Accessories
271 Men's Clothing
272 Men's Shirts
273 Men's Sweaters
275 Men's T-Shirts
276 Men's Outerwear
277 Men's Sportcoats & Blazers
278 Men's Jeans
279 Men's Pants
280 Men's Shorts
281 Men's Suits
282 Men's Swimwear
283 Men's Underwear
284 Men's Sleepwear
285 Men's Activewear
286 Men's Activewear Tops
287 Men's Activewear Pants
288 Men's Activewear Shorts
289 Men's Activewear Jackets
290 Men's Bags & Wallets
291 Men's Shoes
292 Men's Boots
293 Men's Sandals
294 Men's Flip Flops
295 Men's Loafers & Moccasins
296 Men's Dress Shoes
297 Men's Sneakers
298 Men's Athletic Shoes
299 Men's Accessories
300 Men's Belts
301 Men's Gloves
302 Men's Scarves
303 Men's Hats
304 Men's Sunglasses
305 Men's Watches
306 Suspenders
307 Cuff Links
308 Pets
309 Activewear Tank Tops
310 Straight Leg Jeans
311 Books
313 Dinnerware
314 Curtains
315 Shapewear
316 Office Accessories
317 Garden Tools
318 Handbags
319 Makeup Brushes
320 Deodorant
321 Gift Cards
4426 Eyewear
4428 Eyeglasses
333 Body Art
334 Men's Grooming
335 Men's Fragrance
4432 Outdoors
4433 Bed Accessories
338 Makeup Tools
339 Manicure Tools
340 Gift Sets & Kits
4437 Fans
342 Men's Polos
4439 Food Storage Containers
4440 Teapots
4441 Kids
4442 Juniors
4443 Jewelry Storage
4445 Cleaning
4446 Cabinets
4447 Men's Eyeglasses
4448 Media
4449 Benches
4450 Kitchen Linens
4451 Party Supplies
4452 Flared Jeans
4454 Men's Casual Shirts
4455 Men's Coats
4456 Men's Jackets
4457 Men's Vests
4458 Men's Casual Pants
4459 Men's Dress Pants
4460 Men's Socks
4461 Men's Bags
4462 Men's Briefcases
4463 Men's Wallets
4464 Men's Oxfords
4465 Men's Slippers
4466 Men's Watches & Jewelry
4467 Men's Key Rings & Chains
4468 Men's Money Clips
4470 Bow Ties
4472 Men's Tech Accessories
4473 Men's Umbrellas
4474 Men's Grooming Bags
4475 Men's Deodorant
4476 Men's Gift Sets & Kits
4477 Men's Shaving
4478 Boys
4479 Girls
4480 Health
4481 Oral Care
4482 Supplements
4483 Napkin Rings
4484 Stools
4485 Outdoor Stools
4486 Aprons
4487 Bedspreads
4488 Children's Furniture
4489 Nursery Furniture
4490 Baby Bedding
4492 Window Blinds
4493 Outdoor Patio Sets
4495 Sweatshirts
4496 Hoodies
4497 Men's Sweatshirts
4498 Men's Hoodies
4499 Dining Chairs
4500 Dining Tables
4501 Bar Cabinets
4502 Standing Fans
4503 Ceiling Lights
4504 Desk Lamps
4505 Floor Lamps
4506 Table Lamps
4507 Wall Lights
4508 Curtain Rods
4509 Children's Room
4510 Children's Bedding
4511 Children's Decor
4512 Home Improvement
4513 Paint
4514 Storage & Organization
4516 Wedding Dresses
4517 Bikini Tops
4518 Bikini Bottoms
4520 Men's Backpacks
4521 Men's Messenger Bags
4522 Men's Work Boots
4523 Men's Bracelets
4524 Men's Necklaces
4525 Men's Rings
4526 Handkerchiefs
4438 Floral Decor
4240 Clocks
146 Desks
148 File Cabinets
4246 Fireplace Accessories
151 Outdoor Tables
152 Outdoor Chairs
949 Toys
161 Comforters
4258 Window Treatments
171 Kitchen & Dining
4269 Patio Furniture
4276 Outdoor Lighting
196 Eyeshadow
3336 Stationery
1605 Bikinis
1606 One Piece Swimsuits
1607 Cover-ups
1967 Tech Accessories
332 Capri & Cropped Pants
4429 Sideboards
4430 Armoires
4431 Nightstands
336 Men's Hair Care
337 Men's Skincare
4434 Quilts & Coverlets
4435 Bar Tools
4436 Cookbooks
341 Men's Dress Shirts
gitextract__p4_xoev/ ├── LICENSE ├── README.md └── category_id.txt
Condensed preview — 3 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (24K chars).
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"preview": " Apache License\n Version 2.0, January 2004\n "
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"chars": 5835,
"preview": "## Polyvore Dataset\nDataset used in ACM MM'17 paper \"Learning Fashion Compatibility with Bidirectional LSTMs\" [[paper]]("
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