Datasets:
import os | |
import matplotlib.pyplot as plt | |
import dsbuild | |
stats_path: list[str] = ['../stats/full/train/', '../stats/full/test', | |
'../stats/pruned/train', '../stats/pruned/test'] | |
def __plot_mean_word_counts(path: list[str], show: bool = False, save: bool = False): | |
for p in path: | |
p: str = os.path.normpath(p) | |
split_name: str = p.split(os.sep)[-1] | |
config_name: str = p.split(os.sep)[-2] | |
stats: dict = dsbuild.load_stats(p) | |
conversations: list[float] = [conversation['wordsMean'] for _, conversation in stats['conversations'].items()] | |
dsbuild.build_mean_word_plot(conversations, f'Mean Words ({config_name}-{split_name})', | |
text=f'{len(conversations)} total') | |
if save: | |
plt.savefig(f'../assets/{config_name}-{split_name}.png') | |
if show: | |
plt.show() | |
def main(): | |
__plot_mean_word_counts(stats_path, show=False, save=True) | |
if __name__ == '__main__': | |
main() | |