Datasets:

Languages:
English
ArXiv:
License:
File size: 4,204 Bytes
9640bf5
4e4f283
 
 
9640bf5
 
4e4f283
 
 
 
 
 
 
9640bf5
 
4e4f283
 
 
 
 
 
 
 
82c213a
 
 
 
 
 
 
 
8bcc4e5
82c213a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8bcc4e5
82c213a
8bcc4e5
82c213a
8bcc4e5
82c213a
 
 
8bcc4e5
82c213a
 
 
 
 
8bcc4e5
9096f98
 
 
 
 
8bcc4e5
82c213a
 
 
8bcc4e5
 
 
 
 
 
82c213a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
annotations_creators:
- expert-generated
- crowdsourced
language:
- en
language_creators:
- other
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: DOCCI
size_categories:
- 10K<n<100K
source_datasets:
- original
tags: []
task_categories:
- text-to-image
- image-to-text
task_ids:
- image-captioning
---

# Dataset Card for DOCCI

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks)
  - [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://google.github.io/docci
- **Paper:**
- **Point of Contact:** [email protected]

### Dataset Summary

DOCCI (Descriptions of Connected and Contrasting Images) is a collection of images paired with detailed descriptions. The descriptions explain the key elements of the images, as well as secondary information such as background, lighting, and settings. The images are specifically taken to help assess the precise visual properties of images. DOCCI also includes many related images that vary in having key differences from the others. All descriptions are manually annotated to ensure they adequately distinguish each image from its counterparts.

### Supported Tasks

Text-to-Image and Image-to-Text generation

### Languages

English

## Dataset Structure

### Data Instances

```
{
    'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1536x2048>,
    'example_id': 'qual_dev_00000',
    'description': 'An indoor angled down medium close-up front view of a real sized stuffed dog with white and black colored fur wearing a blue hard hat with a light on it. A couple inches to the right of the dog is a real sized black and white penguin that is also wearing a blue hard hat with a light on it. The dog is sitting, and is facing slightly towards the right while looking to its right with its mouth slightly open, showing its pink tongue. The dog and penguin are placed on a gray and white carpet, and placed against a white drawer that has a large gray cushion on top of it. Behind the gray cushion is a transparent window showing green trees on the outside.'
}
```

### Data Fields

Name | Explanation
--- | ---
`example_id`                  | The unique ID of an example follows this format: '<SPLIT_NAME>_<EXAMPLE_NUMBER>'.
`split`	                      | Identifier of the data split it belongs to (e.g. qual_dev).
`image_file`                  | Image filename (JPEG format).
`description`                 | Text description of the associated image.

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]



### Licensing Information

CC BY 4.0

### Citation Information

[More Information Needed]