Datasets:
| license: mit | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - agent | |
| - materials_science | |
| - spatial_reasoning | |
| - action | |
| pretty_name: AtomMotor | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: "train/*.json" | |
| - split: bench | |
| path: "bench/*.json" | |
| 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. |