Loading process_srl.py +4 −1 Original line number Diff line number Diff line Loading @@ -44,12 +44,15 @@ parser.add_argument("-c", "--combine", action="store_true", default=False, help= args = parser.parse_args() df = load_output(dir='outputs', combine=args.combine) df = df[df['arg'].str.startswith('B-ARG0')] print('Output size {}:'.format((df.shape)) sent = pd.read_csv('data/sent_df.csv', names=['sent_id','bias','doc_id','s']) df = pd.merge(df, sent, on=['sent_id']) namlabs_df, namlabs = load_nameslab() df = pd.merge(df, namlabs_df, on=['name']) #df = df.drop(columns='same') df = df[df['arg'].str.startswith('B-ARG0')] pd.set_option('display.max_colwidth', 200) pd.set_option('display.max_columns', 10) Loading Loading
process_srl.py +4 −1 Original line number Diff line number Diff line Loading @@ -44,12 +44,15 @@ parser.add_argument("-c", "--combine", action="store_true", default=False, help= args = parser.parse_args() df = load_output(dir='outputs', combine=args.combine) df = df[df['arg'].str.startswith('B-ARG0')] print('Output size {}:'.format((df.shape)) sent = pd.read_csv('data/sent_df.csv', names=['sent_id','bias','doc_id','s']) df = pd.merge(df, sent, on=['sent_id']) namlabs_df, namlabs = load_nameslab() df = pd.merge(df, namlabs_df, on=['name']) #df = df.drop(columns='same') df = df[df['arg'].str.startswith('B-ARG0')] pd.set_option('display.max_colwidth', 200) pd.set_option('display.max_columns', 10) Loading