README.md

metadata

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.