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Update README.md

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- ---
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: prompt
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- dtype: string
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- - name: hash
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- dtype: string
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- - name: generated_by
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- dtype: string
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- - name: quantity
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- dtype: string
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- - name: plain_background
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- dtype: string
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- - name: has_neighbors
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- dtype: string
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- - name: style
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- sequence: string
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- - name: size
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- sequence:
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- sequence: string
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- splits:
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- - name: train
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- num_bytes: 586975377.483
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- num_examples: 2039
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- download_size: 586703624
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- dataset_size: 586975377.483
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- license: mit
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- task_categories:
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- - text-to-image
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- - unconditional-image-generation
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- language:
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- - en
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- tags:
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- - art
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- pretty_name: Housey Home v2
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- ---
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- # Housey House v2 - Like v1 never happened
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  I was in the process of producing a fully synthetic dataset for ungrounded image generation using an unconventional combination of layers. As such, I needed a dataset of highly similar objects with 'themes'. In order to produce `log(x, y)` combinations of options in the final model. This is that dataset.
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+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: image
5
+ dtype: image
6
+ - name: prompt
7
+ dtype: string
8
+ - name: hash
9
+ dtype: string
10
+ - name: generated_by
11
+ dtype: string
12
+ - name: quantity
13
+ dtype: string
14
+ - name: plain_background
15
+ dtype: string
16
+ - name: has_neighbors
17
+ dtype: string
18
+ - name: style
19
+ sequence: string
20
+ - name: size
21
+ sequence:
22
+ sequence: string
23
+ splits:
24
+ - name: train
25
+ num_bytes: 586975377.483
26
+ num_examples: 2039
27
+ download_size: 586703624
28
+ dataset_size: 586975377.483
29
+ configs:
30
+ - config_name: default
31
+ data_files:
32
+ - split: train
33
+ path: data/train-*
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+ license: mit
35
+ task_categories:
36
+ - text-to-image
37
+ - unconditional-image-generation
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+ language:
39
+ - en
40
+ tags:
41
+ - art
42
+ pretty_name: Housey Home v2
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+ ---
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+ # Housey Home v2 - Like v1 never happened
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  I was in the process of producing a fully synthetic dataset for ungrounded image generation using an unconventional combination of layers. As such, I needed a dataset of highly similar objects with 'themes'. In order to produce `log(x, y)` combinations of options in the final model. This is that dataset.
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