---
license: mit
task_categories:
- video-classification
- question-answering
tags:
- egocentric-video
- action-planning
- video-qa
size_categories:
- n<1K
---

# EgoPlan-Bench Dataset

This dataset contains 741 samples from the EgoPlan-Bench benchmark for egocentric video understanding and action planning.

## Dataset Structure

Each sample contains:
- **video**: The video file
- **question**: The question about what action should be taken next
- **task_goal**: The overall task goal
- **options**: List of 4 possible actions (choices a, b, c, d)
- **answer**: The correct answer (a, b, c, or d)
- **sample_id**: Original sample ID
- **video_id**: Original video ID

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("advaitgupta/egoplan-bench")

# Access a sample
sample = dataset['train'][0]
print(sample['question'])
print(sample['options'])
print(sample['answer'])
```

## Citation

If you use this dataset, please cite the original EgoPlan-Bench paper.

## License

MIT License