jablonkagroup/corral-environment-tasks huggingface dataset:
Task: Set PID gain and scanning parameters.
Environment: afm (level_3 subtask)
Description: Set the PID gains (P gain: 100, I gain: 6000, D gain: 10) and other scanning parameters (Time per Line: 0.1 s, Lines per Frame: 128) for a scanning mode that minimizes tip damage.
Allowed tools: Document_Retrieval, Code_Executor
Submission format: string
Task: Image capture of size 10x10 µm².
Environment: afm (level_3 subtask)
Description: Take a topographic surface scan of an area 10x10 µm² using scanning parameters (points per line: 128, lines per frame: 128). Use a scanning mode that minimizes tip damage. Return its absolute path.
Allowed tools: Document_Retrieval, Code_Executor
Submission format: absolute path to image (eg. /results/afm_images/sample/nid)
Task: Image capture of size 10x10 µm².
Environment: afm (level_3 subtask)
Description: Take a topographic surface scan of an area 20x20 µm² using scanning parameters (points per line: 128, lines per frame: 128). Use a scanning mode that minimizes tip damage. Return its absolute path.
Allowed tools: Document_Retrieval, Code_Executor
Submission format: absolute path to image (eg. /results/afm_images/sample/nid)
Task: Image capture of size 10x10 µm².
Environment: afm (level_3 subtask)
Description: Take a topographic surface scan of an area 30x30 µm² using scanning parameters (points per line: 128, lines per frame: 128). Use a scanning mode that minimizes tip damage. Return its absolute path.
Allowed tools: Document_Retrieval, Code_Executor
Submission format: absolute path to image (eg. /results/afm_images/sample/nid)
Task: Roughness calculation for 10x10 µm² image present at the given path.
Environment: afm (level_3 subtask)
Description: Calculate the root-mean-square (RMS) roughness of the image at the given path.
Allowed tools: Image_Analyzer
Submission format: {"rms_roughness_1": "<numerical_value without units>", "path_1": "<absolute_path>"} e.g. {"rms_roughness_1": "42.78", "path_1": "/path/to/image_1"}
Task: Roughness calculation for 20x20 µm² image present at the given path.
Environment: afm (level_3 subtask)
Description: Calculate the root-mean-square (RMS) roughness of the image at the given path.
Allowed tools: Image_Analyzer
Submission format: {"rms_roughness_1": "<numerical_value without units>", "path_1": "<absolute_path>"} e.g. {"rms_roughness_1": "42.78", "path_1": "/path/to/image_1"}
Task: Roughness calculation for 30x30 µm² image present at the given path.
Environment: afm (level_3 subtask)
Description: Calculate the root-mean-square (RMS) roughness of the image at the given path.
Allowed tools: Image_Analyzer
Submission format: {"rms_roughness_1": "<numerical_value without units>", "path_1": "<absolute_path>"} e.g. {"rms_roughness_1": "42.78", "path_1": "/path/to/image_1"}
Task: scale-dependent roughness relationship between Rq and scan area (A).
Environment: afm (level_3 subtask)
Description: Given experimental data relating the RMS roughness (Rb) to the sample area (A), find a possible mathematical relationship between them.
Allowed tools: Image_Analyzer
Submission format: {"equation": "<Valid mathematical equation in the exact format: 'Rb = expression_in_A'. Use valid Python math syntax (** for powers, * for multiplication, and math. for functions like math.log, math.exp, etc.)>","Rb": [1, 4, 6,...],"A": [2, 6, 7,...]} e.g. {"equation": "Rb = 5 * math.log(A)","Rb": [1, 4, 6],"A": [2, 6, 7]}