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Improve README: add metadata, dataset summary, examples, and usage
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README.md
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license: mit
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---
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---
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license: mit
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language:
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- en
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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), plus source links to real educational videos.
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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** | CSV (prompt + expected answer + source URL) |
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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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| Column | Description |
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|--------|-------------|
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| Example Title | Name of the scientific demonstration |
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| Fields | Scientific discipline (e.g., Physics) |
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| Keywords | Relevant scientific concepts |
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| Prompts | Textual description of what is shown in the video/experiment |
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| Source | URL to educational material or video |
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| Expected phenomenon | The correct scientific explanation |
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| Unique ID | Integer identifier |
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## Example
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| Example Title | Prompts (excerpt) | Expected phenomenon (excerpt) |
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|---------------|-------------------|------------------------------|
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| Chain Fountain | A glass beaker is filled with a loosely coiled metal ball chain... | The chain rises up out of the beaker in an elegant upward arc... |
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| Prince Rupert's Drop | A teardrop-shaped piece of tempered glass is held at its bulbous head. Small pliers snip the thin tail... | The entire drop explosively shatters into powder... |
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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 data
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data = dataset["train"] # or default split
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```
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## License
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MIT
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