---
license: mit
language:
- en
configs:
- config_name: default
  data_files:
  - split: test
    path: "data_filtered.jsonl"
task_categories:
- question-answering
- text-generation
tags:
- scientific-reasoning
- video-understanding
- physics
- chemistry
- benchmark
---

# VideoScienceBench

A benchmark for evaluating **video understanding** and **scientific reasoning** in vision-language models. Each example pairs a textual description of an experiment (what is shown) with the correct scientific explanation (expected phenomenon).

## Dataset Summary

| Attribute | Value |
|-----------|-------|
| **Examples** | 160 |
| **Domains** | Physics, Chemistry |
| **Format** | JSONL (prompt + expected phenomenon + vid) |

## Data Creation Pipeline

Each researcher selects two or more scientific concepts and references relevant educational materials or videos to design a prompt. Prompts undergo peer and model review, followed by model-based quality checking, before being finalized for dataset inclusion.

## Dataset Structure

Each line is a JSON object with:

| Field | Type | Description |
|-------|------|-------------|
| keywords | list[str] | Relevant scientific concepts |
| field | str | Scientific discipline (e.g., Physics) |
| prompt | str | Textual description of what is shown in the video/experiment |
| expected phenomenon | str | The correct scientific explanation |
| vid | str | Video identifier |

## Example

```json
{
  "keywords": ["Buoyancy", "Gas Laws", "Pressure"],
  "field": "Physics",
  "prompt": "A sealed plastic bottle is filled with water containing a floating eyedropper with an air bubble inside. A person squeezes the sides of the bottle.",
  "expected phenomenon": "The eyedropper immediately sinks when the bottle is squeezed, then rises again when released, as increased pressure compresses the air bubble, reducing buoyancy.",
  "vid": "98"
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("lmgame/VideoScienceBench")
# Access the test split (configured in the dataset card)
data = dataset["test"]
```

## License

MIT