---
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.