Datasets:
Darknsu
/
HAT_Epic_Output

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 138 new columns ({'P21_02', 'P01_14', 'P18_03', 'P28_17', 'P12_08', 'P11_18', 'P24_09', 'P08_09', 'P28_25', 'P26_36', 'P05_07', 'P06_14', 'P26_37', 'P26_40', 'P23_05', 'P28_20', 'P04_24', 'P04_31', 'P26_33', 'P04_30', 'P18_11', 'P08_14', 'P03_22', 'P18_06', 'P04_25', 'P04_27', 'P07_13', 'P16_04', 'P11_22', 'P15_04', 'P28_18', 'P07_16', 'P28_24', 'P06_12', 'P13_02', 'P32_09', 'P31_12', 'P02_13', 'P22_04', 'P03_25', 'P31_10', 'P14_08', 'P26_38', 'P32_08', 'P18_12', 'P18_09', 'P04_33', 'P06_13', 'P18_05', 'P11_19', 'P28_23', 'P29_05', 'P28_15', 'P25_08', 'P20_06', 'P25_06', 'P08_17', 'P25_07', 'P01_11', 'P30_08', 'P26_41', 'P28_16', 'P02_15', 'P19_06', 'P01_12', 'P22_02', 'P01_13', 'P11_24', 'P32_01', 'P11_17', 'P07_17', 'P22_03', 'P03_23', 'P32_04', 'P04_28', 'P08_10', 'P22_01', 'P08_15', 'P09_08', 'P19_05', 'P01_15', 'P26_31', 'P07_14', 'P26_30', 'P28_26', 'P32_07', 'P07_12', 'P10_03', 'P06_11', 'P30_09', 'P04_29', 'P28_21', 'P17_02', 'P03_24', 'P26_32', 'P31_11', 'P26_39', 'P13_01', 'P18_02', 'P11_21', 'P04_26', 'P32_02', 'P18_10', 'P13_03', 'P15_06', 'P26_34', 'P02_14', 'P02_12', 'P28_22', 'P18_01', 'P20_07', 'P11_20', 'P05_09', 'P11_23', 'P32_03', 'P06_10', 'P03_26', 'P04_32', 'P07_15', 'P29_06', 'P32_10', 'P32_05', 'P12_03', 'P18_04', 'P09_07', 'P26_35', 'P28_19', 'P18_07', 'P03_21', 'P08_16', 'P20_05', 'P32_06', 'P14_06', 'P07_18', 'P18_08', 'P15_05', 'P30_07', 'P27_05'}) and 495 missing columns ({'P11_11', 'P08_19', 'P03_115', 'P11_104', 'P31_13', 'P03_110', 'P11_09', 'P07_02', 'P03_119', 'P12_07', 'P30_05', 'P14_04', 'P04_101', 'P02_02', 'P35_109', 'P02_105', 'P02_113', 'P28_03', 'P01_109', 'P28_107', 'P25_106', 'P09_103', 'P28_04', 'P31_07', 'P03_107', 'P02_07', 'P02_115', 'P02_132', 'P24_06', 'P19_03', 'P30_111', 'P28_12', 'P04_109', 'P06_08', 'P03_18', 'P20_04', 'P08_13', 'P25_102', 'P37_103', 'P37_101', 'P03_10', 'P04_111', 'P14_05', 'P02_129', 'P13_10', 'P25_104', 'P01_102', 'P29_04', 'P26_25', 'P28_103', 'P26_101', 'P24_08', 'P09_106', 'P03_09', 'P07_116', 'P28_111', 'P22_110', 'P11_15', 'P29_02', 'P26_119', 'P01_17', 'P24_01', 'P11_06', 'P09_105', 'P07_115', 'P28_08', 'P04_120', 'P26_02', 'P28_13', 'P08_04', 'P23_101', 'P23_01', 'P07_11', 'P26_18', 'P26_21', 'P08_01', 'P28_05', 'P03_118', 'P09_05', 'P03_121', 'P04_11', 'P08_22', 'P29_01', 'P04_117', 'P01_09', 'P29_03', 'P01_06', 'P01_05', 'P22_13', 'P26_110', 'P04_17', 'P22_09', 'P03_05', 'P07_117', 'P26_118', 'P20_02', 'P21_01', 'P01_16', 'P08_21', 'P01_08', 'P24_05', 'P35_108', 'P03_19', 'P26_19', 'P26_117', 'P02_11', 'P08_06', 'P27_01', 'P11_03', 'P04_102', 'P03_117', 'P14_09', 'P26_115', 'P15_08', 'P13_07', 'P02_114', 'P35_107', 'P03_14', 'P22_104', 'P03_20', 'P22_111', 'P26_114', 'P23_03', 'P08_12', 'P07_08', 'P02_131', 'P27_105', 'P01_03', 'P01_107', 'P02_126', 'P22_106', 'P06_104', 'P09_03', 'P06_109', 'P28_110', 'P04_09', 'P22_103', 'P02_128', 'P09_02', 'P31_05', 'P26_106', 'P06_106', 'P11_102', 'P30_
...
13', 'P02_107', 'P14_01', 'P26_29', 'P08_26', 'P14_03', 'P26_124', 'P28_06', 'P15_12', 'P07_03', 'P26_16', 'P02_111', 'P26_113', 'P05_01', 'P27_03', 'P03_17', 'P04_15', 'P22_08', 'P14_02', 'P13_04', 'P30_110', 'P26_24', 'P11_13', 'P04_03', 'P26_03', 'P31_04', 'P03_120', 'P04_07', 'P24_03', 'P09_06', 'P22_17', 'P28_09', 'P03_102', 'P11_01', 'P22_06', 'P26_05', 'P28_112', 'P10_01', 'P06_02', 'P01_103', 'P21_04', 'P24_07', 'P04_06', 'P11_05', 'P06_105', 'P12_04', 'P15_09', 'P04_104', 'P22_115', 'P25_04', 'P22_12', 'P03_27', 'P22_112', 'P14_07', 'P30_101', 'P04_108', 'P11_12', 'P06_108', 'P02_121', 'P26_22', 'P25_02', 'P26_20', 'P28_105', 'P26_111', 'P22_15', 'P12_05', 'P04_110', 'P27_07', 'P26_102', 'P15_03', 'P27_103', 'P26_116', 'P28_101', 'P25_12', 'P07_112', 'P04_14', 'P20_03', 'P31_14', 'P25_103', 'P02_122', 'P04_114', 'P02_118', 'P03_12', 'P28_07', 'P02_116', 'P28_108', 'P26_109', 'P02_01', 'P02_110', 'P06_107', 'P02_03', 'P04_119', 'P04_22', 'P03_122', 'P17_03', 'P30_103', 'P11_04', 'P28_102', 'P12_02', 'P04_13', 'P05_04', 'P02_101', 'P15_13', 'P25_05', 'P07_06', 'P12_105', 'P22_116', 'P08_03', 'P07_10', 'P07_103', 'P11_103', 'P26_28', 'P01_105', 'P07_01', 'P02_123', 'P04_16', 'P25_107', 'P06_01', 'P08_05', 'P02_10', 'P16_02', 'P02_119', 'P22_105', 'P17_01', 'P06_09', 'P03_28', 'P07_106', 'P05_05', 'P04_107', 'P03_16', 'P22_11', 'P35_101', 'P08_23', 'P24_02', 'P04_103', 'P26_04', 'P06_101', 'P15_01', 'P22_05', 'P02_109', 'P04_106', 'P27_02', 'P04_12', 'P02_127', 'P07_09'}).

This happened while the json dataset builder was generating data using

hf://datasets/Darknsu/HAT_Epic_Output/video_len_valid_.json (at revision e4ad53b2cfd0a6cb99579f9a77e7389d43249817)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              P01_11: int64
              P01_12: int64
              P01_13: int64
              P01_14: int64
              P01_15: int64
              P02_12: int64
              P02_13: int64
              P02_14: int64
              P02_15: int64
              P03_21: int64
              P03_22: int64
              P03_23: int64
              P03_24: int64
              P03_25: int64
              P03_26: int64
              P04_24: int64
              P04_25: int64
              P04_26: int64
              P04_27: int64
              P04_28: int64
              P04_29: int64
              P04_30: int64
              P04_31: int64
              P04_32: int64
              P04_33: int64
              P05_07: int64
              P05_09: int64
              P06_10: int64
              P06_11: int64
              P06_12: int64
              P06_13: int64
              P06_14: int64
              P07_12: int64
              P07_13: int64
              P07_14: int64
              P07_15: int64
              P07_16: int64
              P07_17: int64
              P07_18: int64
              P08_09: int64
              P08_10: int64
              P08_14: int64
              P08_15: int64
              P08_16: int64
              P08_17: int64
              P09_07: int64
              P09_08: int64
              P10_03: int64
              P11_17: int64
              P11_18: int64
              P11_19: int64
              P11_20: int64
              P11_21: int64
              P11_22: int64
              P11_23: int64
              P11_24: int64
              P12_03: int64
              P12_08: int64
              P13_01: int64
              P13_02: int64
              P13_03: int64
              P14_06: int64
              P14_08: int64
              P15_04: int64
              P15_05: int64
              P15_06: int64
              P16_04: int64
              P17_02: int64
              P18_01: int64
              P18_02: int64
              P18_03: int64
              P18_04: int64
              P18_05: int64
              P18_06: int64
              P18_07: int64
              P18_08: int64
              P18_09: int64
              P18_10: int64
              P18_11: int64
              P18_12: int64
              P19_05: int64
              P19_06: int64
              P20_05: int64
              P20_06: int64
              P20_07: int64
              P21_02: int64
              P22_01: int64
              P22_02: int64
              P22_03: int64
              P22_04: int64
              P23_05: int64
              P24_09: int64
              P25_06: int64
              P25_07: int64
              P25_08: int64
              P26_30: int64
              P26_31: int64
              P26_32: int64
              P26_33: int64
              P26_34: int64
              P26_35: int64
              P26_36: int64
              P26_37: int64
              P26_38: int64
              P26_39: int64
              P26_40: int64
              P26_41: int64
              P27_05: int64
              P28_15: int64
              P28_16: int64
              P28_17: int64
              P28_18: int64
              P28_19: int64
              P28_20: int64
              P28_21: int64
              P28_22: int64
              P28_23: int64
              P28_24: int64
              P28_25: int64
              P28_26: int64
              P29_05: int64
              P29_06: int64
              P30_07: int64
              P30_08: int64
              P30_09: int64
              P31_10: int64
              P31_11: int64
              P31_12: int64
              P32_01: int64
              P32_02: int64
              P32_03: int64
              P32_04: int64
              P32_05: int64
              P32_06: int64
              P32_07: int64
              P32_08: int64
              P32_09: int64
              P32_10: int64
              to
              {'P01_01': Value('int64'), 'P01_02': Value('int64'), 'P01_03': Value('int64'), 'P01_04': Value('int64'), 'P01_05': Value('int64'), 'P01_06': Value('int64'), 'P01_07': Value('int64'), 'P01_08': Value('int64'), 'P01_09': Value('int64'), 'P01_102': Value('int64'), 'P01_103': Value('int64'), 'P01_104': Value('int64'), 'P01_105': Value('int64'), 'P01_106': Value('int64'), 'P01_107': Value('int64'), 'P01_108': Value('int64'), 'P01_109': Value('int64'), 'P01_10': Value('int64'), 'P01_16': Value('int64'), 'P01_17': Value('int64'), 'P01_18': Value('int64'), 'P01_19': Value('int64'), 'P02_01': Value('int64'), 'P02_02': Value('int64'), 'P02_03': Value('int64'), 'P02_04': Value('int64'), 'P02_05': Value('int64'), 'P02_06': Value('int64'), 'P02_07': Value('int64'), 'P02_08': Value('int64'), 'P02_09': Value('int64'), 'P02_101': Value('int64'), 'P02_102': Value('int64'), 'P02_103': Value('int64'), 'P02_104': Value('int64'), 'P02_105': Value('int64'), 'P02_107': Value('int64'), 'P02_108': Value('int64'), 'P02_109': Value('int64'), 'P02_10': Value('int64'), 'P02_110': Value('int64'), 'P02_111': Value('int64'), 'P02_112': Value('int64'), 'P02_113': Value('int64'), 'P02_114': Value('int64'), 'P02_115': Value('int64'), 'P02_116': Value('int64'), 'P02_118': Value('int64'), 'P02_119': Value('int64'), 'P02_11': Value('int64'), 'P02_120': Value('int64'), 'P02_121': Value('int64'), 'P02_122': Value('int64'), 'P02_123': Value('int64'), 'P02_124': Value('int64'), 'P02_126': Value('int64'), 'P02_127': V
              ...
               Value('int64'), 'P28_107': Value('int64'), 'P28_108': Value('int64'), 'P28_109': Value('int64'), 'P28_10': Value('int64'), 'P28_110': Value('int64'), 'P28_111': Value('int64'), 'P28_112': Value('int64'), 'P28_113': Value('int64'), 'P28_11': Value('int64'), 'P28_12': Value('int64'), 'P28_13': Value('int64'), 'P28_14': Value('int64'), 'P29_01': Value('int64'), 'P29_02': Value('int64'), 'P29_03': Value('int64'), 'P29_04': Value('int64'), 'P30_01': Value('int64'), 'P30_02': Value('int64'), 'P30_03': Value('int64'), 'P30_04': Value('int64'), 'P30_05': Value('int64'), 'P30_06': Value('int64'), 'P30_101': Value('int64'), 'P30_103': Value('int64'), 'P30_104': Value('int64'), 'P30_107': Value('int64'), 'P30_108': Value('int64'), 'P30_109': Value('int64'), 'P30_10': Value('int64'), 'P30_110': Value('int64'), 'P30_111': Value('int64'), 'P30_112': Value('int64'), 'P30_113': Value('int64'), 'P30_114': Value('int64'), 'P30_11': Value('int64'), 'P31_01': Value('int64'), 'P31_02': Value('int64'), 'P31_03': Value('int64'), 'P31_04': Value('int64'), 'P31_05': Value('int64'), 'P31_06': Value('int64'), 'P31_07': Value('int64'), 'P31_08': Value('int64'), 'P31_09': Value('int64'), 'P31_13': Value('int64'), 'P31_14': Value('int64'), 'P35_101': Value('int64'), 'P35_103': Value('int64'), 'P35_104': Value('int64'), 'P35_105': Value('int64'), 'P35_107': Value('int64'), 'P35_108': Value('int64'), 'P35_109': Value('int64'), 'P37_101': Value('int64'), 'P37_102': Value('int64'), 'P37_103': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 138 new columns ({'P21_02', 'P01_14', 'P18_03', 'P28_17', 'P12_08', 'P11_18', 'P24_09', 'P08_09', 'P28_25', 'P26_36', 'P05_07', 'P06_14', 'P26_37', 'P26_40', 'P23_05', 'P28_20', 'P04_24', 'P04_31', 'P26_33', 'P04_30', 'P18_11', 'P08_14', 'P03_22', 'P18_06', 'P04_25', 'P04_27', 'P07_13', 'P16_04', 'P11_22', 'P15_04', 'P28_18', 'P07_16', 'P28_24', 'P06_12', 'P13_02', 'P32_09', 'P31_12', 'P02_13', 'P22_04', 'P03_25', 'P31_10', 'P14_08', 'P26_38', 'P32_08', 'P18_12', 'P18_09', 'P04_33', 'P06_13', 'P18_05', 'P11_19', 'P28_23', 'P29_05', 'P28_15', 'P25_08', 'P20_06', 'P25_06', 'P08_17', 'P25_07', 'P01_11', 'P30_08', 'P26_41', 'P28_16', 'P02_15', 'P19_06', 'P01_12', 'P22_02', 'P01_13', 'P11_24', 'P32_01', 'P11_17', 'P07_17', 'P22_03', 'P03_23', 'P32_04', 'P04_28', 'P08_10', 'P22_01', 'P08_15', 'P09_08', 'P19_05', 'P01_15', 'P26_31', 'P07_14', 'P26_30', 'P28_26', 'P32_07', 'P07_12', 'P10_03', 'P06_11', 'P30_09', 'P04_29', 'P28_21', 'P17_02', 'P03_24', 'P26_32', 'P31_11', 'P26_39', 'P13_01', 'P18_02', 'P11_21', 'P04_26', 'P32_02', 'P18_10', 'P13_03', 'P15_06', 'P26_34', 'P02_14', 'P02_12', 'P28_22', 'P18_01', 'P20_07', 'P11_20', 'P05_09', 'P11_23', 'P32_03', 'P06_10', 'P03_26', 'P04_32', 'P07_15', 'P29_06', 'P32_10', 'P32_05', 'P12_03', 'P18_04', 'P09_07', 'P26_35', 'P28_19', 'P18_07', 'P03_21', 'P08_16', 'P20_05', 'P32_06', 'P14_06', 'P07_18', 'P18_08', 'P15_05', 'P30_07', 'P27_05'}) and 495 missing columns ({'P11_11', 'P08_19', 'P03_115', 'P11_104', 'P31_13', 'P03_110', 'P11_09', 'P07_02', 'P03_119', 'P12_07', 'P30_05', 'P14_04', 'P04_101', 'P02_02', 'P35_109', 'P02_105', 'P02_113', 'P28_03', 'P01_109', 'P28_107', 'P25_106', 'P09_103', 'P28_04', 'P31_07', 'P03_107', 'P02_07', 'P02_115', 'P02_132', 'P24_06', 'P19_03', 'P30_111', 'P28_12', 'P04_109', 'P06_08', 'P03_18', 'P20_04', 'P08_13', 'P25_102', 'P37_103', 'P37_101', 'P03_10', 'P04_111', 'P14_05', 'P02_129', 'P13_10', 'P25_104', 'P01_102', 'P29_04', 'P26_25', 'P28_103', 'P26_101', 'P24_08', 'P09_106', 'P03_09', 'P07_116', 'P28_111', 'P22_110', 'P11_15', 'P29_02', 'P26_119', 'P01_17', 'P24_01', 'P11_06', 'P09_105', 'P07_115', 'P28_08', 'P04_120', 'P26_02', 'P28_13', 'P08_04', 'P23_101', 'P23_01', 'P07_11', 'P26_18', 'P26_21', 'P08_01', 'P28_05', 'P03_118', 'P09_05', 'P03_121', 'P04_11', 'P08_22', 'P29_01', 'P04_117', 'P01_09', 'P29_03', 'P01_06', 'P01_05', 'P22_13', 'P26_110', 'P04_17', 'P22_09', 'P03_05', 'P07_117', 'P26_118', 'P20_02', 'P21_01', 'P01_16', 'P08_21', 'P01_08', 'P24_05', 'P35_108', 'P03_19', 'P26_19', 'P26_117', 'P02_11', 'P08_06', 'P27_01', 'P11_03', 'P04_102', 'P03_117', 'P14_09', 'P26_115', 'P15_08', 'P13_07', 'P02_114', 'P35_107', 'P03_14', 'P22_104', 'P03_20', 'P22_111', 'P26_114', 'P23_03', 'P08_12', 'P07_08', 'P02_131', 'P27_105', 'P01_03', 'P01_107', 'P02_126', 'P22_106', 'P06_104', 'P09_03', 'P06_109', 'P28_110', 'P04_09', 'P22_103', 'P02_128', 'P09_02', 'P31_05', 'P26_106', 'P06_106', 'P11_102', 'P30_
              ...
              13', 'P02_107', 'P14_01', 'P26_29', 'P08_26', 'P14_03', 'P26_124', 'P28_06', 'P15_12', 'P07_03', 'P26_16', 'P02_111', 'P26_113', 'P05_01', 'P27_03', 'P03_17', 'P04_15', 'P22_08', 'P14_02', 'P13_04', 'P30_110', 'P26_24', 'P11_13', 'P04_03', 'P26_03', 'P31_04', 'P03_120', 'P04_07', 'P24_03', 'P09_06', 'P22_17', 'P28_09', 'P03_102', 'P11_01', 'P22_06', 'P26_05', 'P28_112', 'P10_01', 'P06_02', 'P01_103', 'P21_04', 'P24_07', 'P04_06', 'P11_05', 'P06_105', 'P12_04', 'P15_09', 'P04_104', 'P22_115', 'P25_04', 'P22_12', 'P03_27', 'P22_112', 'P14_07', 'P30_101', 'P04_108', 'P11_12', 'P06_108', 'P02_121', 'P26_22', 'P25_02', 'P26_20', 'P28_105', 'P26_111', 'P22_15', 'P12_05', 'P04_110', 'P27_07', 'P26_102', 'P15_03', 'P27_103', 'P26_116', 'P28_101', 'P25_12', 'P07_112', 'P04_14', 'P20_03', 'P31_14', 'P25_103', 'P02_122', 'P04_114', 'P02_118', 'P03_12', 'P28_07', 'P02_116', 'P28_108', 'P26_109', 'P02_01', 'P02_110', 'P06_107', 'P02_03', 'P04_119', 'P04_22', 'P03_122', 'P17_03', 'P30_103', 'P11_04', 'P28_102', 'P12_02', 'P04_13', 'P05_04', 'P02_101', 'P15_13', 'P25_05', 'P07_06', 'P12_105', 'P22_116', 'P08_03', 'P07_10', 'P07_103', 'P11_103', 'P26_28', 'P01_105', 'P07_01', 'P02_123', 'P04_16', 'P25_107', 'P06_01', 'P08_05', 'P02_10', 'P16_02', 'P02_119', 'P22_105', 'P17_01', 'P06_09', 'P03_28', 'P07_106', 'P05_05', 'P04_107', 'P03_16', 'P22_11', 'P35_101', 'P08_23', 'P24_02', 'P04_103', 'P26_04', 'P06_101', 'P15_01', 'P22_05', 'P02_109', 'P04_106', 'P27_02', 'P04_12', 'P02_127', 'P07_09'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Darknsu/HAT_Epic_Output/video_len_valid_.json (at revision e4ad53b2cfd0a6cb99579f9a77e7389d43249817)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

P01_01
int64
P01_02
int64
P01_03
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P01_04
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P01_05
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P01_06
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P01_07
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P01_08
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P01_09
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P01_102
int64
P01_103
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P01_104
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P01_105
int64
P01_106
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P01_107
int64
P01_108
int64
P01_109
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P01_10
int64
P01_16
int64
P01_17
int64
P01_18
int64
P01_19
int64
P02_01
int64
P02_02
int64
P02_03
int64
P02_04
int64
P02_05
int64
P02_06
int64
P02_07
int64
P02_08
int64
P02_09
int64
P02_101
int64
P02_102
int64
P02_103
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P02_104
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P02_105
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P02_107
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P02_108
int64
P02_109
int64
P02_10
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P02_110
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P02_111
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P02_112
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P02_113
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P02_114
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P02_115
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P02_11
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P02_120
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P03_107
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P03_108
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P03_109
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P03_10
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P03_110
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P03_111
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P03_112
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P03_113
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P03_114
int64
P03_115
int64
P03_116
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P03_117
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P03_118
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P03_119
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P03_11
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P03_120
int64
P03_121
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P03_122
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P03_123
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P03_13
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P03_18
int64
P03_19
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P03_20
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P03_27
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P04_111
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P04_112
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P04_113
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P04_114
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P04_115
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P04_119
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P04_120
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P07_103
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P07_106
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P07_107
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P07_10
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P07_110
int64
P07_111
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P07_112
int64
P07_113
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P07_114
int64
P07_115
int64
P07_116
int64
P07_117
int64
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int64
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int64
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P08_04
int64
P08_05
int64
P08_06
int64
P08_07
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P08_13
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P08_19
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P08_20
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P08_21
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P08_22
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P08_23
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P11_05
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P11_06
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P11_07
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P11_08
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P11_09
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P11_102
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P11_103
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P11_104
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P11_105
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P11_10
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P11_11
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P11_12
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P11_13
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P11_15
int64
P11_16
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P12_01
int64
P12_02
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P12_06
int64
P12_07
int64
P12_101
int64
P12_103
int64
P12_104
int64
P12_105
int64
P13_04
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P13_05
int64
P13_06
int64
P13_07
int64
P13_08
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P13_10
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P14_01
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P19_01
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P19_02
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P20_04
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P21_01
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P21_03
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P21_04
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P23_03
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P23_04
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P23_102
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P24_01
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P24_02
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P37_101
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P37_102
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P37_103
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34
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51
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126
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1,354
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921
2,217
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1,075
628
278
1,595
452
1,565
3,174
301
589
164
46
407
277
234
29
172
369
321
1,872
685
634
1,937
728
292
583
2,401
169
26
1,286
2,708
1,991
57
2,521
3,485
1,374
1,574
285
202
323
546
1,366
72
143
580
204
209
492
1,547
393
264
621
324
637
902
384
92
30
330
3,863
488
244
163
983
346
398
162
701
418
1,154
201
281
384
3,288
912
45
270
366
63
45
937
258
389
2,637
242
2,870
1,076
40
767
349
64
26
693
274
191
502
757
1,394
1,038
251
280
1,711
2,292
6,299
340
67
256
541
3,415
72
49
112
651
345
644
425
1,615
625
235
400
40
124
93
118
51
919
663
772
3,476
3,585
113
319
1,471
3,836
1,201
2,131
599
465
746
209
304
4,622
1,014
331
195
60
37
264
133
169
475
88
1,303
619
388
1,036
724
370
51
115
1,805
2,330
104
399
293
1,832
1,995
1,463
137
255
1,714
2,584
803
399
4,220
1,299
1,098
1,067
2,317
833
4,088
1,727
800
688
431
1,488
1,183
129
959
1,089
407
3,766
1,803
760
2,902
739
1,279
926
930
1,822
800
1,285
938
1,319
1,142
2,740
2,444
172
3,128
682
4,214
3,274
6,693
1,359
1,522
918
926
3,001
1,061
1,709
2,836
216
475
340
1,114
2,797
1,643
817
933
929
1,519
3,037
4,149
702
709
180
149
871
586
272
85
51
45
97
229
188
341
1,124
1,293
919
166
306
367
48
251
496
323
745
129
108
387
375
1,336
776
1,302
184
1,451
35
231
60
67
122
124
840
885
70
872
263
160
109
73
132
52
247
104
529
340
183
621
1,686
1,788
2,550
4,591
1,975
1,833
635
949
1,467
849
982
1,395
245
631
935
1,345
781
3,422
1,348
1,072
371
91
775
405
114
254
1,432
670
1,008
615
50
281
523
2,532
363
3,890
336
140
445
977
1,331
6,116
752
1,178
345
595
5,614
1,078
784
1,486
487
3,450
151
687
229
646
891
391
514
181
906
351
473
1,571
478
1,234
588
728
2,836
6,282
4,028
3,075
5,653
2,117
3,152
1,280
741