Loading probing/proBert.py +4 −4 Original line number Diff line number Diff line Loading @@ -27,7 +27,7 @@ def open_ncs(tsv_list_local): # Liste mit Templates öffnen def open_templates(): return pd.read_csv('./templates.tsv', sep="\t").dropna(subset=['Relation']) return pd.read_csv('data/templates.tsv', sep="\t").dropna(subset=['Relation']) # Verben und dazugehörige Wahrscheinlichkeiten mit MLM suchen Loading Loading @@ -95,16 +95,16 @@ def clustering(all_guesses_cluster, templates_cluster): pbar.close() all_clusters.to_csv('./all_clusters_fine.tsv', sep='\t') all_clusters.to_csv('data/fine/all_clusters.tsv', sep='\t') def main(): tic = time.perf_counter() tsv_list = ['./data.tsv'] tsv_list = ['data/data.tsv'] ncs_with_rel = open_ncs(tsv_list) templates = open_templates() all_guesses = mlm(ncs_with_rel, templates).dropna() all_guesses.to_csv('./all_guesses_fine.tsv', sep='\t') all_guesses.to_csv('data/fine/all_guesses.tsv', sep='\t') clustering(all_guesses, templates) toc = time.perf_counter() print(f"\nTook me some time: {toc - tic:0.4f} seconds") Loading Loading
probing/proBert.py +4 −4 Original line number Diff line number Diff line Loading @@ -27,7 +27,7 @@ def open_ncs(tsv_list_local): # Liste mit Templates öffnen def open_templates(): return pd.read_csv('./templates.tsv', sep="\t").dropna(subset=['Relation']) return pd.read_csv('data/templates.tsv', sep="\t").dropna(subset=['Relation']) # Verben und dazugehörige Wahrscheinlichkeiten mit MLM suchen Loading Loading @@ -95,16 +95,16 @@ def clustering(all_guesses_cluster, templates_cluster): pbar.close() all_clusters.to_csv('./all_clusters_fine.tsv', sep='\t') all_clusters.to_csv('data/fine/all_clusters.tsv', sep='\t') def main(): tic = time.perf_counter() tsv_list = ['./data.tsv'] tsv_list = ['data/data.tsv'] ncs_with_rel = open_ncs(tsv_list) templates = open_templates() all_guesses = mlm(ncs_with_rel, templates).dropna() all_guesses.to_csv('./all_guesses_fine.tsv', sep='\t') all_guesses.to_csv('data/fine/all_guesses.tsv', sep='\t') clustering(all_guesses, templates) toc = time.perf_counter() print(f"\nTook me some time: {toc - tic:0.4f} seconds") Loading