Datasets:
yschneider
commited on
Commit
•
547b38f
1
Parent(s):
349d8c4
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,60 @@
|
|
1 |
---
|
2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: mit
|
3 |
+
language:
|
4 |
+
- fr
|
5 |
+
task_categories:
|
6 |
+
- image-to-text
|
7 |
+
pretty_name: POPP
|
8 |
+
dataset_info:
|
9 |
+
features:
|
10 |
+
- name: image
|
11 |
+
dtype: image
|
12 |
+
- name: text
|
13 |
+
dtype: string
|
14 |
+
splits:
|
15 |
+
- name: train
|
16 |
+
num_examples: 3834
|
17 |
+
- name: validation
|
18 |
+
num_examples: 479
|
19 |
+
- name: test
|
20 |
+
num_examples: 478
|
21 |
+
dataset_size: 4791
|
22 |
---
|
23 |
+
|
24 |
+
# POPP Dataset
|
25 |
+
|
26 |
+
## Table of Contents
|
27 |
+
- [POPP Dataset](#popp-dataset)
|
28 |
+
- [Table of Contents](#table-of-contents)
|
29 |
+
- [Dataset Description](#dataset-description)
|
30 |
+
- [Languages](#languages)
|
31 |
+
- [Dataset Structure](#dataset-structure)
|
32 |
+
- [Data Instances](#data-instances)
|
33 |
+
- [Data Fields](#data-fields)
|
34 |
+
|
35 |
+
## Dataset Description
|
36 |
+
|
37 |
+
- **Homepage:** [POPP](https://popp.hypotheses.org/)
|
38 |
+
- **Paper:** [Paper](https://link.springer.com/chapter/10.1007/978-3-031-06555-2_10)
|
39 |
+
- **Point of Contact:** [TEKLIA](https://teklia.com)
|
40 |
+
|
41 |
+
### Languages
|
42 |
+
|
43 |
+
All the documents in the dataset are written in French.
|
44 |
+
|
45 |
+
## Dataset Structure
|
46 |
+
|
47 |
+
### Data Instances
|
48 |
+
|
49 |
+
```
|
50 |
+
{
|
51 |
+
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
|
52 |
+
'text': 'Joly Ernest 88 Indre M par Employé Roblot!18377'
|
53 |
+
}
|
54 |
+
```
|
55 |
+
|
56 |
+
### Data Fields
|
57 |
+
|
58 |
+
|
59 |
+
- `image`: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
|
60 |
+
- `text`: the label transcription of the image.
|