Datasets:
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Download README.md from Master-AI-Lab/AtomWorldBench: direct link, hf CLI and curl.
- Browser
- Download file 597 Bytes
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https://huggingface.co/datasets/Master-AI-Lab/AtomWorldBench/resolve/c843d2b8f886fe240d4e00a483cc0c4ab4df063d/README.md
- Command line
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hf download hf://datasets/Master-AI-Lab/AtomWorldBench@c843d2b8f886fe240d4e00a483cc0c4ab4df063d/README.md
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curl -L -o README.md https://huggingface.co/datasets/Master-AI-Lab/AtomWorldBench/resolve/c843d2b8f886fe240d4e00a483cc0c4ab4df063d/README.md
597 Bytes
| license: mit | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - agent | |
| - materials_science | |
| - spatial_reasoning | |
| - action | |
| pretty_name: AtomMotor | |
| size_categories: | |
| - 1K<n<10K | |
| In each json, there are three keys: `action_prompt`, `input`, and `output`, where `input` and `output` are the structure information in CIF format. Insert `action_prompt` and `input` into the system prompt and then call LLM/Agent to start the task. | |
| The `bench_data` folder contains the data used in the AtomWorld Bench. Besides, we have generated ~5K data for each action, which can be used as training set. |