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--- |
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license: mit |
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language: |
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- en |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: "data_filtered.jsonl" |
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task_categories: |
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- question-answering |
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- text-generation |
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tags: |
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- scientific-reasoning |
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- video-understanding |
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- physics |
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- chemistry |
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- benchmark |
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--- |
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# VideoScienceBench |
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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). |
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## Dataset Summary |
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| Attribute | Value | |
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|-----------|-------| |
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| **Examples** | 160 | |
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| **Domains** | Physics, Chemistry | |
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| **Format** | JSONL (prompt + expected phenomenon + vid) | |
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## Data Creation Pipeline |
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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. |
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## Dataset Structure |
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Each line is a JSON object with: |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| keywords | list[str] | Relevant scientific concepts | |
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| field | str | Scientific discipline (e.g., Physics) | |
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| prompt | str | Textual description of what is shown in the video/experiment | |
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| expected phenomenon | str | The correct scientific explanation | |
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| vid | str | Video identifier | |
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## Example |
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```json |
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{ |
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"keywords": ["Buoyancy", "Gas Laws", "Pressure"], |
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"field": "Physics", |
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"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.", |
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"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.", |
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"vid": "98" |
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} |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("lmgame/VideoScienceBench") |
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# Access the test split (configured in the dataset card) |
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data = dataset["test"] |
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``` |
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## License |
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MIT |
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