Upload complete dataset with folder structure

README.md

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+# Perspective-Taking Dataset
+
+## Dataset Description
+
+This dataset contains image-question pairs for perspective-taking tasks.
+
+### Dataset Statistics
+- Training samples: 90
+- Testing samples: 10
+- Total samples: 100
+- Concepts: concept_5_image
+
+## Dataset Structure
+
+The dataset is organized into train and test splits for each concept. Each sample consists of:
+- An image file (or multiple images)
+- A question about the image
+- An answer to the question (when available)
+
+### Data Fields
+- `id`: Question identifier
+- `concept`: The concept category the question belongs to
+- `question`: The question text from question.txt
+- `answer`: The answer text from answer.txt (when available)
+- `image`: Filename of the primary image
+- `additional_images`: Additional images if present
+- `additional_text`: Additional text files with their content
+- `split`: Train or test split
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("path/to/dataset")
+
+# Access examples
+sample = dataset["train"][0]
+print(f"Question: {sample['question']}")
+print(f"Answer: {sample.get('answer', 'No answer available')}")
+print(f"Image path: {sample['image']}")
+
+# If the sample has additional images
+if 'additional_images' in sample and sample['additional_images']:
+    print(f"Additional images: {sample['additional_images']}")
+```
+
+## Citation
+
+Please cite the original dataset if you use this data in your research.