Datasets:
File size: 727 Bytes
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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. |