File size: 5,512 Bytes
00d7c2d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
dataset_info:
- config_name: mixed
  features:
  - name: svg
    dtype: string
  - name: png
    dtype: image
  - name: layer_mask
    dtype: image
  - name: object_mask
    dtype: image
  splits:
  - name: train
    num_bytes: 44979830
    num_examples: 32000
  - name: validation
    num_bytes: 5629432
    num_examples: 4000
  - name: test
    num_bytes: 4389077
    num_examples: 4000
  download_size: 510689903
  dataset_size: 54998339
- config_name: circles
  features:
  - name: svg
    dtype: string
  - name: png
    dtype: image
  - name: layer_mask
    dtype: image
  - name: object_mask
    dtype: image
  splits:
  - name: train
    num_bytes: 10970618
    num_examples: 8000
  - name: validation
    num_bytes: 1373482
    num_examples: 1000
  - name: test
    num_bytes: 1070432
    num_examples: 1000
  download_size: 220171148
  dataset_size: 13414532
- config_name: squares
  features:
  - name: svg
    dtype: string
  - name: png
    dtype: image
  - name: layer_mask
    dtype: image
  - name: object_mask
    dtype: image
  splits:
  - name: train
    num_bytes: 11349095
    num_examples: 8000
  - name: validation
    num_bytes: 1424342
    num_examples: 1000
  - name: test
    num_bytes: 1115270
    num_examples: 1000
  download_size: 31759345
  dataset_size: 13888707
- config_name: squares_and_circles
  features:
  - name: svg
    dtype: string
  - name: png
    dtype: image
  - name: layer_mask
    dtype: image
  - name: object_mask
    dtype: image
  splits:
  - name: train
    num_bytes: 11459654
    num_examples: 8000
  - name: validation
    num_bytes: 1431454
    num_examples: 1000
  - name: test
    num_bytes: 1096945
    num_examples: 1000
  download_size: 128738219
  dataset_size: 13988053
- config_name: scer
  features:
  - name: svg
    dtype: string
  - name: png
    dtype: image
  - name: layer_mask
    dtype: image
  - name: object_mask
    dtype: image
  splits:
  - name: train
    num_bytes: 11200463
    num_examples: 8000
  - name: validation
    num_bytes: 1400154
    num_examples: 1000
  - name: test
    num_bytes: 1106430
    num_examples: 1000
  download_size: 130021191
  dataset_size: 13707047
---

# Dataset Card for BasicShapes10K

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://eezy.com


### Dataset Summary

This is a synthetic dataset containing randomly-generated SVGs with various shapes
### Supported Tasks and Leaderboards

NA

### Languages

NA

## Dataset Structure

The dataset is composed of 4 base domains, plus a 'mixed' domain that is a superset of the other 4:
* `circles` - only circles
* `squares` - only squares
* `squares_and_circles` - circles and squares present in the same svg
* `scer` - squares, circles, ellipses, and rectangles present in the same svg
* `mixed` - an aggregation of all of the above

### Data Instances

There's stuff there

### Data Fields

Each example has 4 fields:

* `svg` - the raw svg as a string
* `png` - a raster rendering of the svg with a white background
* `object_mask` - a black/white mask that defines the outlines of the svg objects
* `layer_mask` - a greyscale mask that defines layers of svg objects - overlap regions are brighter. Created by making all the objects white and semi-transparent

### Data Splits

Train & validation include the layer and object masks, test does not

## Dataset Creation

Generated by randomly inserting objects into an SVG.

### Curation Rationale

Objects should have at least 50% of their bounding box visible - i.e. no big circle completely obscuring a little circle

### Source Data

`/dev/urandom`

#### Initial Data Collection and Normalization

NA

#### Who are the source language producers?

NA

### Annotations

see [Data Fields](#data-fields)

#### Annotation process

see [Data Fields](#data-fields)

#### Who are the annotators?

Imagemagick/pysvg

### Personal and Sensitive Information

Unlikely

## Considerations for Using the Data

Please do not use for world domination.

### Social Impact of Dataset

NA

### Discussion of Biases

Dataset is highly biased against triangles and concave shapes

### Other Known Limitations

Color selection is pretty limited.

## Additional Information

### Dataset Curators

[Aleks Clark](https://github.com/aleksclark)

### Licensing Information

CC-BY

### Citation Information

Link it I guess?

### Contributions

Thanks to [@aleksclark](https://github.com/aleksclark) for adding this dataset.