File size: 1,881 Bytes
5c1a54e
7e1b66b
 
4670e5e
7e1b66b
 
 
 
 
 
4670e5e
7e1b66b
 
4670e5e
 
 
 
 
 
 
9bc113e
 
 
 
 
 
4670e5e
9bc113e
 
 
 
 
 
 
 
ea5ef32
 
9bc113e
ea5ef32
 
 
 
9bc113e
4670e5e
 
 
 
 
 
 
 
 
 
 
 
 
 
5c1a54e
c787ab0
 
debccb3
c787ab0
 
 
bdfe582
c787ab0
f475222
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
language:
- en
license: apache-2.0
multilinguality:
- monolingual
source_datasets:
- bartman081523/stable-diffusion-discord-prompts
- succinctly/midjourney-prompts
- Gustavosta/Stable-Diffusion-Prompts
pretty_name: multi text2image prompts a dataset collection
tags:
- text generation
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
- config_name: original
  data_files:
  - split: train
    path: original/train-*
  - split: test
    path: original/test-*
dataset_info:
- config_name: default
  features:
  - name: text
    dtype: string
  - name: src_dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 262736830
    num_examples: 1677221
  - name: test
    num_bytes: 56294291
    num_examples: 292876
  download_size: 151054782
  dataset_size: 319031121
- config_name: original
  features:
  - name: text
    dtype: string
  - name: src_dataset
    dtype: string
  splits:
  - name: train
    num_bytes: 741427383
    num_examples: 3551734
  - name: test
    num_bytes: 83615440
    num_examples: 399393
  download_size: 402186258
  dataset_size: 825042823
---


# text2image multi-prompt(s): a dataset collection

- collection of several text2image prompt datasets
- data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on
- data de-duplicated on a basic level: exactly duplicate prompts were dropped (_after cleaning and normalization_)


## contents

```
DatasetDict({
    train: Dataset({
        features: ['text', 'src_dataset'],
        num_rows: 3551734
    })
    test: Dataset({
        features: ['text', 'src_dataset'],
        num_rows: 399393
    })
})
```

_NOTE: as the other two datasets did not have a `validation` split, the validation split of `succinctly/midjourney-prompts` was merged into `train`._