Add metadata (task, license, tags) and links to paper, project page, and code
Browse filesThis PR enriches the dataset card by:
- Adding `task_categories`, `license`, and relevant `tags` to the YAML metadata for better discoverability and categorization.
- Including direct links to the paper, the project page, and the GitHub repository in the Markdown content for easy access to related resources.
- Integrating the paper link into the "Data Description" section to improve context and flow.
README.md
CHANGED
@@ -1,4 +1,12 @@
|
|
1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2 |
dataset_info:
|
3 |
features:
|
4 |
- name: idx
|
@@ -43,8 +51,14 @@ configs:
|
|
43 |
- split: ChineseLigature
|
44 |
path: data/ChineseLigature-*
|
45 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
## Data Description
|
47 |
-
The Turing Eye Test (TET) as presented in
|
48 |
|
49 |
This benchmark includes four tasks:
|
50 |
- HiddenText: comprises scale-variant items where text is rendered as shapes within the figure, appearing as text when reduced and resolving into a complete image when magnified, which contains 150 images.
|
|
|
1 |
---
|
2 |
+
task_categories:
|
3 |
+
- image-text-to-text
|
4 |
+
license: apache-2.0
|
5 |
+
tags:
|
6 |
+
- benchmark
|
7 |
+
- multimodal
|
8 |
+
- perception
|
9 |
+
- computer-vision
|
10 |
dataset_info:
|
11 |
features:
|
12 |
- name: idx
|
|
|
51 |
- split: ChineseLigature
|
52 |
path: data/ChineseLigature-*
|
53 |
---
|
54 |
+
|
55 |
+
# Turing Eye Test (TET) Dataset
|
56 |
+
|
57 |
+
Project Page: https://TuringEyeTest.github.io/
|
58 |
+
Code: https://github.com/TuringEyeTest/TuringEyeTest
|
59 |
+
|
60 |
## Data Description
|
61 |
+
The Turing Eye Test (TET) as presented in [Pixels, Patterns, but No Poetry: To See The World like Humans](https://huggingface.co/papers/2507.16863).
|
62 |
|
63 |
This benchmark includes four tasks:
|
64 |
- HiddenText: comprises scale-variant items where text is rendered as shapes within the figure, appearing as text when reduced and resolving into a complete image when magnified, which contains 150 images.
|