Datasets:

Gracjan
/

Isle

@@ -4,26 +4,23 @@ license: mit
 ## Dataset Details
 The LEGO Visual Tasks Dataset is designed for research in visual perspective taking (VPT), scene understanding, and spatial reasoning. It contains 144 visual tasks inspired by human VPT tests, such as those detailed in O'Grady et al. (2020) and Lukosiunaite et al. (2024). Each task involves a minifigure-object pair created using LEGO components and systematically photographed in varying spatial arrangements and orientations.
 This dataset can be utilized for evaluating models’ abilities in object recognition, spatial reasoning, and perspective-taking, making it a valuable resource for studies in artificial intelligence, cognitive science, and computer vision.
-### Dataset Sources
 - **Repository:** https://github.com/GracjanGoral/ISLE
 - **Paper:** https://arxiv.org/abs/2409.12969
-## Uses
-### Direct Use
 The dataset is suitable for:
 - Training and evaluating models in visual perspective-taking tasks.
 - Studying scene understanding, spatial reasoning, and object recognition.
 - Testing abilities to answer diagnostic questions related to the dataset's scenarios.
-### Out-of-Scope Use
 The dataset should not be used for:
 - Malicious purposes such as creating misleading or biased AI applications.
@@ -44,15 +41,11 @@ The dataset consists of:
   - `question_1` to `question_7`: Questions testing scene understanding, spatial reasoning, and visual perspective-taking.
   - `gold_answer`: The correct answer for each question.
-## Dataset Creation
-### Curation Rationale
 This dataset was created to systematically test visual reasoning models on tasks inspired by human cognitive processes. It aims to bridge the gap between machine learning performance and human abilities in tasks requiring scene understanding, spatial reasoning, and perspective-taking.
-### Source Data
-#### Data Collection and Processing
 The images were collected by:
 - Designing nine unique minifigure-object pairs using LEGO pieces.
@@ -60,27 +53,19 @@ The images were collected by:
 - Photographing each arrangement with consistent lighting and surface conditions.
 - The images were manually created, and each has a resolution of 4000 x 3000 pixels.
-#### Who are the source data producers?
 The source data producers include the dataset creator Gracjan Goral, who designed the LEGO minifigure-object pairs and performed systematic photography.
-### Annotations
-#### Annotation Process
 - Three annotators labeled data, and the gold answers were produced by majority choice among the annotators.
 - The labeling process achieved over 99% agreement among annotators
-#### Personal and Sensitive Information
 The dataset does not contain any personal, sensitive, or private information. All data consists of LEGO objects and metadata derived from the tasks.
-### Recommendations
-Users should consider the following:
-- The dataset is limited to synthetic scenes involving LEGO components and may not generalize to real-world scenarios.
--
 ## Citation
 **BibTeX:**
@@ -88,10 +73,4 @@ Users should consider the following:
 **APA:**
-Goral, G. (2025). LEGO Visual Tasks Dataset. Available at https://huggingface.co/datasets/lego_visual_tasks. Used in article: https://arxiv.org/abs/2409.12969.
-## Glossary
-- **VPT (Visual Perspective Taking):** The ability to interpret a scene from another entity’s perspective.
-- **Object Recognition:** Identifying and counting objects within a scene.
-- **Spatial Reasoning:** Understanding spatial relationships and orientations.

 ## Dataset Details
 The LEGO Visual Tasks Dataset is designed for research in visual perspective taking (VPT), scene understanding, and spatial reasoning. It contains 144 visual tasks inspired by human VPT tests, such as those detailed in O'Grady et al. (2020) and Lukosiunaite et al. (2024). Each task involves a minifigure-object pair created using LEGO components and systematically photographed in varying spatial arrangements and orientations.
 This dataset can be utilized for evaluating models’ abilities in object recognition, spatial reasoning, and perspective-taking, making it a valuable resource for studies in artificial intelligence, cognitive science, and computer vision.
+## Dataset Sources
 - **Repository:** https://github.com/GracjanGoral/ISLE
 - **Paper:** https://arxiv.org/abs/2409.12969
+## Direct Use
 The dataset is suitable for:
 - Training and evaluating models in visual perspective-taking tasks.
 - Studying scene understanding, spatial reasoning, and object recognition.
 - Testing abilities to answer diagnostic questions related to the dataset's scenarios.
+## Out-of-Scope Use
 The dataset should not be used for:
 - Malicious purposes such as creating misleading or biased AI applications.
   - `question_1` to `question_7`: Questions testing scene understanding, spatial reasoning, and visual perspective-taking.
   - `gold_answer`: The correct answer for each question.
+## Curation Rationale
 This dataset was created to systematically test visual reasoning models on tasks inspired by human cognitive processes. It aims to bridge the gap between machine learning performance and human abilities in tasks requiring scene understanding, spatial reasoning, and perspective-taking.
+## Data Collection and Processing
 The images were collected by:
 - Designing nine unique minifigure-object pairs using LEGO pieces.
 - Photographing each arrangement with consistent lighting and surface conditions.
 - The images were manually created, and each has a resolution of 4000 x 3000 pixels.
+## Who are the source data producers?
 The source data producers include the dataset creator Gracjan Goral, who designed the LEGO minifigure-object pairs and performed systematic photography.
+## Annotation Process
 - Three annotators labeled data, and the gold answers were produced by majority choice among the annotators.
 - The labeling process achieved over 99% agreement among annotators
+## Personal and Sensitive Information
 The dataset does not contain any personal, sensitive, or private information. All data consists of LEGO objects and metadata derived from the tasks.
 ## Citation
 **BibTeX:**
 **APA:**
+Goral, G. (2025). LEGO Visual Tasks Dataset. Available at https://huggingface.co/datasets/lego_visual_tasks. Used in article: https://arxiv.org/abs/2409.12969.