DatasetFormatter

class myoverse.datasets.utils.DatasetFormatter(console=None, debug_level=0)

Handles Rich console output for dataset creation.

Extracts all formatting and display logic from EMGDataset to provide a clean separation of concerns.

Parameters:

• console (Console | None) – Rich console instance. If None, creates a new one.

• debug_level (int) – Debug level (0=none, 1=text, 2=text+graphs).

Examples

>>> formatter = DatasetFormatter(debug_level=1)
>>> formatter.print_header()
>>> formatter.print_config(config)
>>> formatter.print_summary(dataset)

Methods

__init__([console, debug_level])
_calculate_sizes(dataset)	Calculate dataset sizes in MB.
_print_structure_tree(dataset)	Print dataset structure as a tree.
print_action(action)	Print an action being performed.
print_augmentation_config(num_pipelines, ...)	Print augmentation configuration.
print_config(config)	Print dataset configuration table.
print_data_panel(data, title)	Print a data object in a styled panel.
print_data_structure(emg_data, ground_truth_data)	Print data structure tree.
print_header([title])	Print a section header.
print_section(title)	Print a section label.
print_split_sizes(training_sizes, ...)	Print dataset split sizes table.
print_summary(dataset)	Print final dataset summary.
print_tasks_info(tasks)	Print information about tasks to process.
should_print([level])	Check if output should be printed at the given level.

print_action(action)

Print an action being performed.

Parameters:

action (str)

Return type:

None

print_augmentation_config(num_pipelines, pipeline_names, batch_size, training_size)

Print augmentation configuration.

Parameters:

• num_pipelines (int)

• pipeline_names (list[str])

• batch_size (int)

• training_size (int)

Return type:

None

print_config(config)

Print dataset configuration table.

Parameters:

config (DatasetConfig)

Return type:

None

print_data_panel(data, title)

Print a data object in a styled panel.

Parameters:

• data (Any)

• title (str)

Return type:

None

print_data_structure(emg_data, ground_truth_data)

Print data structure tree.

Parameters:

• emg_data (dict[str, ndarray])

• ground_truth_data (dict[str, ndarray])

Return type:

None

print_header(title='STARTING DATASET CREATION')

Print a section header.

Parameters:

title (str)

Return type:

None

print_section(title)

Print a section label.

Parameters:

title (str)

Return type:

None

print_split_sizes(training_sizes, testing_sizes, validation_sizes)

Print dataset split sizes table.

Parameters:

• training_sizes (list[int])

• testing_sizes (list[int])

• validation_sizes (list[int])

Return type:

None

print_summary(dataset)

Print final dataset summary.

Parameters:

dataset (Group)

Return type:

None

print_tasks_info(tasks)

Print information about tasks to process.

Parameters:

tasks (list[str])

Return type:

None

should_print(level=1)

Check if output should be printed at the given level.

Parameters:

level (int)

Return type:

bool