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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 1947 new columns ({'d_78', 'd_668', 'd_599', 'd_483', 'd_732', 'd_499', 'd_801', 'd_705', 'd_864', 'd_1110', 'd_1332', 'd_1495', 'd_1936', 'd_1118', 'd_1732', 'd_752', 'd_1149', 'd_1289', 'd_884', 'd_929', 'd_1297', 'd_566', 'd_1611', 'd_429', 'd_1528', 'd_917', 'd_1028', 'd_1931', 'd_1114', 'd_1395', 'd_37', 'd_1135', 'd_355', 'd_1678', 'd_312', 'd_156', 'd_23', 'd_925', 'd_775', 'd_1362', 'd_207', 'd_337', 'd_1859', 'd_958', 'd_584', 'd_652', 'd_1874', 'd_882', 'd_68', 'd_868', 'd_1368', 'd_485', 'd_1911', 'd_414', 'd_163', 'd_1849', 'd_386', 'd_413', 'd_1236', 'd_1553', 'd_84', 'd_719', 'd_1385', 'd_757', 'd_1772', 'd_461', 'd_1062', 'd_1222', 'd_1134', 'd_292', 'd_402', 'd_1512', 'd_1836', 'd_253', 'd_170', 'd_143', 'd_1215', 'd_790', 'd_403', 'd_275', 'd_1620', 'd_1638', 'd_967', 'd_155', 'd_1427', 'd_1238', 'd_69', 'd_731', 'd_560', 'd_1845', 'd_313', 'd_293', 'd_575', 'd_1304', 'd_290', 'd_657', 'd_649', 'd_1619', 'd_1782', 'd_557', 'd_1600', 'd_1803', 'd_1635', 'd_1420', 'd_1250', 'd_780', 'd_368', 'd_579', 'd_1057', 'd_1351', 'd_379', 'd_229', 'd_514', 'd_1891', 'd_389', 'd_862', 'd_1275', 'd_1356', 'd_343', 'd_733', 'd_1567', 'd_1928', 'd_398', 'd_134', 'd_543', 'd_1690', 'd_1015', 'd_410', 'd_146', 'd_93', 'd_1464', 'd_751', 'd_1668', 'd_1664', 'd_46', 'd_941', 'd_1040', 'd_237', 'd_211', 'd_362', 'd_854', 'd_709', 'd_369', 'd_830', 'd_260', 'd_1479', 'd_935', 'd_1224', 'd_829', 'd_1041', 'd_419', 'd_559', 'd_284', 'd_486', 'd_1823', 'd_484', 'd_1665', 'd_1868', 'd_938', 'd_1194', '
...
d_642', 'd_1328', 'd_417', 'd_322', 'd_725', 'd_1030', 'd_367', 'd_1940', 'd_71', 'd_1903', 'd_834', 'd_1113', 'd_534', 'd_251', 'd_963', 'd_627', 'd_904', 'd_1335', 'd_1538', 'd_168', 'd_676', 'd_1456', 'd_654', 'd_1547', 'd_1884', 'd_86', 'd_1299', 'd_1428', 'd_1180', 'd_1377', 'd_507', 'd_853', 'd_1216', 'd_1615', 'd_1363', 'd_1483', 'd_911', 'd_1917', 'd_110', 'd_1840', 'd_391', 'd_416', 'd_426', 'd_1473', 'd_145', 'd_1833', 'd_1242', 'd_241', 'd_285', 'd_397', 'd_1208', 'd_1405', 'd_1934', 'd_1045', 'd_932', 'd_1626', 'd_1734', 'd_1759', 'd_1617', 'd_104', 'd_1574', 'd_769', 'd_1602', 'd_590', 'd_1086', 'd_1305', 'd_572', 'd_1881', 'd_1872', 'd_1023', 'd_448', 'd_651', 'd_1930', 'd_755', 'd_738', 'd_221', 'd_1592', 'd_1721', 'd_710', 'd_1807', 'd_1019', 'd_704', 'd_724', 'd_1073', 'd_933', 'd_1039', 'd_1049', 'd_349', 'd_597', 'd_1882', 'd_1770', 'd_586', 'd_1306', 'd_1373', 'd_535', 'd_683', 'd_1100', 'd_722', 'd_1312', 'd_622', 'd_1646', 'd_1391', 'd_1888', 'd_691', 'd_247', 'd_635', 'd_1696', 'd_173', 'd_371', 'd_327', 'd_1084', 'd_1781', 'd_152', 'd_1680', 'd_480', 'd_930', 'd_330', 'd_494', 'd_1579', 'd_823', 'd_1116', 'd_961', 'd_1361', 'd_274', 'd_1511', 'd_952', 'd_34', 'd_1581', 'd_1660', 'd_1503', 'd_1813', 'd_1065', 'd_50', 'd_687', 'd_1163', 'd_41', 'd_588', 'd_1643', 'd_1471', 'd_1777', 'd_384', 'd_1806', 'd_611', 'd_1657', 'd_1482', 'd_1661', 'd_1839', 'd_283', 'd_1074', 'd_1181', 'd_1128', 'd_1443', 'd_505', 'd_1758', 'd_1013', 'd_625', 'd_1645', 'd_1892'}) and 14 missing columns ({'snap_CA', 'month', 'wday', 'wm_yr_wk', 'date', 'event_type_2', 'snap_WI', 'event_type_1', 'event_name_1', 'weekday', 'd', 'year', 'snap_TX', 'event_name_2'}).
This happened while the csv dataset builder was generating data using
zip://sales_train_evaluation.csv::hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/m5/m5.zip, ['hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/m5/m5.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/olist/olist.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2019-Dec.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Apr.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Feb.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Jan.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Mar.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/rees46.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/steam/steam-reviews.zip']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
item_id: string
dept_id: string
cat_id: string
store_id: string
state_id: string
d_1: int64
d_2: int64
d_3: int64
d_4: int64
d_5: int64
d_6: int64
d_7: int64
d_8: int64
d_9: int64
d_10: int64
d_11: int64
d_12: int64
d_13: int64
d_14: int64
d_15: int64
d_16: int64
d_17: int64
d_18: int64
d_19: int64
d_20: int64
d_21: int64
d_22: int64
d_23: int64
d_24: int64
d_25: int64
d_26: int64
d_27: int64
d_28: int64
d_29: int64
d_30: int64
d_31: int64
d_32: int64
d_33: int64
d_34: int64
d_35: int64
d_36: int64
d_37: int64
d_38: int64
d_39: int64
d_40: int64
d_41: int64
d_42: int64
d_43: int64
d_44: int64
d_45: int64
d_46: int64
d_47: int64
d_48: int64
d_49: int64
d_50: int64
d_51: int64
d_52: int64
d_53: int64
d_54: int64
d_55: int64
d_56: int64
d_57: int64
d_58: int64
d_59: int64
d_60: int64
d_61: int64
d_62: int64
d_63: int64
d_64: int64
d_65: int64
d_66: int64
d_67: int64
d_68: int64
d_69: int64
d_70: int64
d_71: int64
d_72: int64
d_73: int64
d_74: int64
d_75: int64
d_76: int64
d_77: int64
d_78: int64
d_79: int64
d_80: int64
d_81: int64
d_82: int64
d_83: int64
d_84: int64
d_85: int64
d_86: int64
d_87: int64
d_88: int64
d_89: int64
d_90: int64
d_91: int64
d_92: int64
d_93: int64
d_94: int64
d_95: int64
d_96: int64
d_97: int64
d_98: int64
d_99: int64
d_100: int64
d_101: int64
d_102: int64
d_103: int64
d_104: int64
d_105: int64
d_106: int64
d_107: int64
d_108: int64
d_109: int64
d_110: int64
d_111: int64
d_112: int64
d_113: int64
d_114: int64
d_115: int64
d_116: int64
d_117: i
...
2: int64
d_1843: int64
d_1844: int64
d_1845: int64
d_1846: int64
d_1847: int64
d_1848: int64
d_1849: int64
d_1850: int64
d_1851: int64
d_1852: int64
d_1853: int64
d_1854: int64
d_1855: int64
d_1856: int64
d_1857: int64
d_1858: int64
d_1859: int64
d_1860: int64
d_1861: int64
d_1862: int64
d_1863: int64
d_1864: int64
d_1865: int64
d_1866: int64
d_1867: int64
d_1868: int64
d_1869: int64
d_1870: int64
d_1871: int64
d_1872: int64
d_1873: int64
d_1874: int64
d_1875: int64
d_1876: int64
d_1877: int64
d_1878: int64
d_1879: int64
d_1880: int64
d_1881: int64
d_1882: int64
d_1883: int64
d_1884: int64
d_1885: int64
d_1886: int64
d_1887: int64
d_1888: int64
d_1889: int64
d_1890: int64
d_1891: int64
d_1892: int64
d_1893: int64
d_1894: int64
d_1895: int64
d_1896: int64
d_1897: int64
d_1898: int64
d_1899: int64
d_1900: int64
d_1901: int64
d_1902: int64
d_1903: int64
d_1904: int64
d_1905: int64
d_1906: int64
d_1907: int64
d_1908: int64
d_1909: int64
d_1910: int64
d_1911: int64
d_1912: int64
d_1913: int64
d_1914: int64
d_1915: int64
d_1916: int64
d_1917: int64
d_1918: int64
d_1919: int64
d_1920: int64
d_1921: int64
d_1922: int64
d_1923: int64
d_1924: int64
d_1925: int64
d_1926: int64
d_1927: int64
d_1928: int64
d_1929: int64
d_1930: int64
d_1931: int64
d_1932: int64
d_1933: int64
d_1934: int64
d_1935: int64
d_1936: int64
d_1937: int64
d_1938: int64
d_1939: int64
d_1940: int64
d_1941: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 210312
to
{'date': Value('string'), 'wm_yr_wk': Value('int64'), 'weekday': Value('string'), 'wday': Value('int64'), 'month': Value('int64'), 'year': Value('int64'), 'd': Value('string'), 'event_name_1': Value('string'), 'event_type_1': Value('string'), 'event_name_2': Value('string'), 'event_type_2': Value('string'), 'snap_CA': Value('int64'), 'snap_TX': Value('int64'), 'snap_WI': 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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 1947 new columns ({'d_78', 'd_668', 'd_599', 'd_483', 'd_732', 'd_499', 'd_801', 'd_705', 'd_864', 'd_1110', 'd_1332', 'd_1495', 'd_1936', 'd_1118', 'd_1732', 'd_752', 'd_1149', 'd_1289', 'd_884', 'd_929', 'd_1297', 'd_566', 'd_1611', 'd_429', 'd_1528', 'd_917', 'd_1028', 'd_1931', 'd_1114', 'd_1395', 'd_37', 'd_1135', 'd_355', 'd_1678', 'd_312', 'd_156', 'd_23', 'd_925', 'd_775', 'd_1362', 'd_207', 'd_337', 'd_1859', 'd_958', 'd_584', 'd_652', 'd_1874', 'd_882', 'd_68', 'd_868', 'd_1368', 'd_485', 'd_1911', 'd_414', 'd_163', 'd_1849', 'd_386', 'd_413', 'd_1236', 'd_1553', 'd_84', 'd_719', 'd_1385', 'd_757', 'd_1772', 'd_461', 'd_1062', 'd_1222', 'd_1134', 'd_292', 'd_402', 'd_1512', 'd_1836', 'd_253', 'd_170', 'd_143', 'd_1215', 'd_790', 'd_403', 'd_275', 'd_1620', 'd_1638', 'd_967', 'd_155', 'd_1427', 'd_1238', 'd_69', 'd_731', 'd_560', 'd_1845', 'd_313', 'd_293', 'd_575', 'd_1304', 'd_290', 'd_657', 'd_649', 'd_1619', 'd_1782', 'd_557', 'd_1600', 'd_1803', 'd_1635', 'd_1420', 'd_1250', 'd_780', 'd_368', 'd_579', 'd_1057', 'd_1351', 'd_379', 'd_229', 'd_514', 'd_1891', 'd_389', 'd_862', 'd_1275', 'd_1356', 'd_343', 'd_733', 'd_1567', 'd_1928', 'd_398', 'd_134', 'd_543', 'd_1690', 'd_1015', 'd_410', 'd_146', 'd_93', 'd_1464', 'd_751', 'd_1668', 'd_1664', 'd_46', 'd_941', 'd_1040', 'd_237', 'd_211', 'd_362', 'd_854', 'd_709', 'd_369', 'd_830', 'd_260', 'd_1479', 'd_935', 'd_1224', 'd_829', 'd_1041', 'd_419', 'd_559', 'd_284', 'd_486', 'd_1823', 'd_484', 'd_1665', 'd_1868', 'd_938', 'd_1194', '
...
d_642', 'd_1328', 'd_417', 'd_322', 'd_725', 'd_1030', 'd_367', 'd_1940', 'd_71', 'd_1903', 'd_834', 'd_1113', 'd_534', 'd_251', 'd_963', 'd_627', 'd_904', 'd_1335', 'd_1538', 'd_168', 'd_676', 'd_1456', 'd_654', 'd_1547', 'd_1884', 'd_86', 'd_1299', 'd_1428', 'd_1180', 'd_1377', 'd_507', 'd_853', 'd_1216', 'd_1615', 'd_1363', 'd_1483', 'd_911', 'd_1917', 'd_110', 'd_1840', 'd_391', 'd_416', 'd_426', 'd_1473', 'd_145', 'd_1833', 'd_1242', 'd_241', 'd_285', 'd_397', 'd_1208', 'd_1405', 'd_1934', 'd_1045', 'd_932', 'd_1626', 'd_1734', 'd_1759', 'd_1617', 'd_104', 'd_1574', 'd_769', 'd_1602', 'd_590', 'd_1086', 'd_1305', 'd_572', 'd_1881', 'd_1872', 'd_1023', 'd_448', 'd_651', 'd_1930', 'd_755', 'd_738', 'd_221', 'd_1592', 'd_1721', 'd_710', 'd_1807', 'd_1019', 'd_704', 'd_724', 'd_1073', 'd_933', 'd_1039', 'd_1049', 'd_349', 'd_597', 'd_1882', 'd_1770', 'd_586', 'd_1306', 'd_1373', 'd_535', 'd_683', 'd_1100', 'd_722', 'd_1312', 'd_622', 'd_1646', 'd_1391', 'd_1888', 'd_691', 'd_247', 'd_635', 'd_1696', 'd_173', 'd_371', 'd_327', 'd_1084', 'd_1781', 'd_152', 'd_1680', 'd_480', 'd_930', 'd_330', 'd_494', 'd_1579', 'd_823', 'd_1116', 'd_961', 'd_1361', 'd_274', 'd_1511', 'd_952', 'd_34', 'd_1581', 'd_1660', 'd_1503', 'd_1813', 'd_1065', 'd_50', 'd_687', 'd_1163', 'd_41', 'd_588', 'd_1643', 'd_1471', 'd_1777', 'd_384', 'd_1806', 'd_611', 'd_1657', 'd_1482', 'd_1661', 'd_1839', 'd_283', 'd_1074', 'd_1181', 'd_1128', 'd_1443', 'd_505', 'd_1758', 'd_1013', 'd_625', 'd_1645', 'd_1892'}) and 14 missing columns ({'snap_CA', 'month', 'wday', 'wm_yr_wk', 'date', 'event_type_2', 'snap_WI', 'event_type_1', 'event_name_1', 'weekday', 'd', 'year', 'snap_TX', 'event_name_2'}).
This happened while the csv dataset builder was generating data using
zip://sales_train_evaluation.csv::hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/m5/m5.zip, ['hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/m5/m5.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/olist/olist.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2019-Dec.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Apr.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Feb.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Jan.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/2020-Mar.csv.gz', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/rees46/rees46.zip', 'hf://datasets/dalpha-ai/price-response-raw-archive@d5a42340b1ab79921105825e5d4661ad66fb30cd/steam/steam-reviews.zip']
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.
date string | wm_yr_wk int64 | weekday string | wday int64 | month int64 | year int64 | d string | event_name_1 null | event_type_1 null | event_name_2 null | event_type_2 null | snap_CA int64 | snap_TX int64 | snap_WI int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2011-01-29 | 11,101 | Saturday | 1 | 1 | 2,011 | d_1 | null | null | null | null | 0 | 0 | 0 |
2011-01-30 | 11,101 | Sunday | 2 | 1 | 2,011 | d_2 | null | null | null | null | 0 | 0 | 0 |
2011-01-31 | 11,101 | Monday | 3 | 1 | 2,011 | d_3 | null | null | null | null | 0 | 0 | 0 |
2011-02-01 | 11,101 | Tuesday | 4 | 2 | 2,011 | d_4 | null | null | null | null | 1 | 1 | 0 |
2011-02-02 | 11,101 | Wednesday | 5 | 2 | 2,011 | d_5 | null | null | null | null | 1 | 0 | 1 |
2011-02-03 | 11,101 | Thursday | 6 | 2 | 2,011 | d_6 | null | null | null | null | 1 | 1 | 1 |
2011-02-04 | 11,101 | Friday | 7 | 2 | 2,011 | d_7 | null | null | null | null | 1 | 0 | 0 |
2011-02-05 | 11,102 | Saturday | 1 | 2 | 2,011 | d_8 | null | null | null | null | 1 | 1 | 1 |
2011-02-06 | 11,102 | Sunday | 2 | 2 | 2,011 | d_9 | null | null | null | null | 1 | 1 | 1 |
2011-02-07 | 11,102 | Monday | 3 | 2 | 2,011 | d_10 | null | null | null | null | 1 | 1 | 0 |
2011-02-08 | 11,102 | Tuesday | 4 | 2 | 2,011 | d_11 | null | null | null | null | 1 | 0 | 1 |
2011-02-09 | 11,102 | Wednesday | 5 | 2 | 2,011 | d_12 | null | null | null | null | 1 | 1 | 1 |
2011-02-10 | 11,102 | Thursday | 6 | 2 | 2,011 | d_13 | null | null | null | null | 1 | 0 | 0 |
2011-02-11 | 11,102 | Friday | 7 | 2 | 2,011 | d_14 | null | null | null | null | 0 | 1 | 1 |
2011-02-12 | 11,103 | Saturday | 1 | 2 | 2,011 | d_15 | null | null | null | null | 0 | 1 | 1 |
2011-02-13 | 11,103 | Sunday | 2 | 2 | 2,011 | d_16 | null | null | null | null | 0 | 1 | 0 |
2011-02-14 | 11,103 | Monday | 3 | 2 | 2,011 | d_17 | null | null | null | null | 0 | 0 | 1 |
2011-02-15 | 11,103 | Tuesday | 4 | 2 | 2,011 | d_18 | null | null | null | null | 0 | 1 | 1 |
2011-02-16 | 11,103 | Wednesday | 5 | 2 | 2,011 | d_19 | null | null | null | null | 0 | 0 | 0 |
2011-02-17 | 11,103 | Thursday | 6 | 2 | 2,011 | d_20 | null | null | null | null | 0 | 0 | 0 |
2011-02-18 | 11,103 | Friday | 7 | 2 | 2,011 | d_21 | null | null | null | null | 0 | 0 | 0 |
2011-02-19 | 11,104 | Saturday | 1 | 2 | 2,011 | d_22 | null | null | null | null | 0 | 0 | 0 |
2011-02-20 | 11,104 | Sunday | 2 | 2 | 2,011 | d_23 | null | null | null | null | 0 | 0 | 0 |
2011-02-21 | 11,104 | Monday | 3 | 2 | 2,011 | d_24 | null | null | null | null | 0 | 0 | 0 |
2011-02-22 | 11,104 | Tuesday | 4 | 2 | 2,011 | d_25 | null | null | null | null | 0 | 0 | 0 |
2011-02-23 | 11,104 | Wednesday | 5 | 2 | 2,011 | d_26 | null | null | null | null | 0 | 0 | 0 |
2011-02-24 | 11,104 | Thursday | 6 | 2 | 2,011 | d_27 | null | null | null | null | 0 | 0 | 0 |
2011-02-25 | 11,104 | Friday | 7 | 2 | 2,011 | d_28 | null | null | null | null | 0 | 0 | 0 |
2011-02-26 | 11,105 | Saturday | 1 | 2 | 2,011 | d_29 | null | null | null | null | 0 | 0 | 0 |
2011-02-27 | 11,105 | Sunday | 2 | 2 | 2,011 | d_30 | null | null | null | null | 0 | 0 | 0 |
2011-02-28 | 11,105 | Monday | 3 | 2 | 2,011 | d_31 | null | null | null | null | 0 | 0 | 0 |
2011-03-01 | 11,105 | Tuesday | 4 | 3 | 2,011 | d_32 | null | null | null | null | 1 | 1 | 0 |
2011-03-02 | 11,105 | Wednesday | 5 | 3 | 2,011 | d_33 | null | null | null | null | 1 | 0 | 1 |
2011-03-03 | 11,105 | Thursday | 6 | 3 | 2,011 | d_34 | null | null | null | null | 1 | 1 | 1 |
2011-03-04 | 11,105 | Friday | 7 | 3 | 2,011 | d_35 | null | null | null | null | 1 | 0 | 0 |
2011-03-05 | 11,106 | Saturday | 1 | 3 | 2,011 | d_36 | null | null | null | null | 1 | 1 | 1 |
2011-03-06 | 11,106 | Sunday | 2 | 3 | 2,011 | d_37 | null | null | null | null | 1 | 1 | 1 |
2011-03-07 | 11,106 | Monday | 3 | 3 | 2,011 | d_38 | null | null | null | null | 1 | 1 | 0 |
2011-03-08 | 11,106 | Tuesday | 4 | 3 | 2,011 | d_39 | null | null | null | null | 1 | 0 | 1 |
2011-03-09 | 11,106 | Wednesday | 5 | 3 | 2,011 | d_40 | null | null | null | null | 1 | 1 | 1 |
2011-03-10 | 11,106 | Thursday | 6 | 3 | 2,011 | d_41 | null | null | null | null | 1 | 0 | 0 |
2011-03-11 | 11,106 | Friday | 7 | 3 | 2,011 | d_42 | null | null | null | null | 0 | 1 | 1 |
2011-03-12 | 11,107 | Saturday | 1 | 3 | 2,011 | d_43 | null | null | null | null | 0 | 1 | 1 |
2011-03-13 | 11,107 | Sunday | 2 | 3 | 2,011 | d_44 | null | null | null | null | 0 | 1 | 0 |
2011-03-14 | 11,107 | Monday | 3 | 3 | 2,011 | d_45 | null | null | null | null | 0 | 0 | 1 |
2011-03-15 | 11,107 | Tuesday | 4 | 3 | 2,011 | d_46 | null | null | null | null | 0 | 1 | 1 |
2011-03-16 | 11,107 | Wednesday | 5 | 3 | 2,011 | d_47 | null | null | null | null | 0 | 0 | 0 |
2011-03-17 | 11,107 | Thursday | 6 | 3 | 2,011 | d_48 | null | null | null | null | 0 | 0 | 0 |
2011-03-18 | 11,107 | Friday | 7 | 3 | 2,011 | d_49 | null | null | null | null | 0 | 0 | 0 |
2011-03-19 | 11,108 | Saturday | 1 | 3 | 2,011 | d_50 | null | null | null | null | 0 | 0 | 0 |
2011-03-20 | 11,108 | Sunday | 2 | 3 | 2,011 | d_51 | null | null | null | null | 0 | 0 | 0 |
2011-03-21 | 11,108 | Monday | 3 | 3 | 2,011 | d_52 | null | null | null | null | 0 | 0 | 0 |
2011-03-22 | 11,108 | Tuesday | 4 | 3 | 2,011 | d_53 | null | null | null | null | 0 | 0 | 0 |
2011-03-23 | 11,108 | Wednesday | 5 | 3 | 2,011 | d_54 | null | null | null | null | 0 | 0 | 0 |
2011-03-24 | 11,108 | Thursday | 6 | 3 | 2,011 | d_55 | null | null | null | null | 0 | 0 | 0 |
2011-03-25 | 11,108 | Friday | 7 | 3 | 2,011 | d_56 | null | null | null | null | 0 | 0 | 0 |
2011-03-26 | 11,109 | Saturday | 1 | 3 | 2,011 | d_57 | null | null | null | null | 0 | 0 | 0 |
2011-03-27 | 11,109 | Sunday | 2 | 3 | 2,011 | d_58 | null | null | null | null | 0 | 0 | 0 |
2011-03-28 | 11,109 | Monday | 3 | 3 | 2,011 | d_59 | null | null | null | null | 0 | 0 | 0 |
2011-03-29 | 11,109 | Tuesday | 4 | 3 | 2,011 | d_60 | null | null | null | null | 0 | 0 | 0 |
2011-03-30 | 11,109 | Wednesday | 5 | 3 | 2,011 | d_61 | null | null | null | null | 0 | 0 | 0 |
2011-03-31 | 11,109 | Thursday | 6 | 3 | 2,011 | d_62 | null | null | null | null | 0 | 0 | 0 |
2011-04-01 | 11,109 | Friday | 7 | 4 | 2,011 | d_63 | null | null | null | null | 1 | 1 | 0 |
2011-04-02 | 11,110 | Saturday | 1 | 4 | 2,011 | d_64 | null | null | null | null | 1 | 0 | 1 |
2011-04-03 | 11,110 | Sunday | 2 | 4 | 2,011 | d_65 | null | null | null | null | 1 | 1 | 1 |
2011-04-04 | 11,110 | Monday | 3 | 4 | 2,011 | d_66 | null | null | null | null | 1 | 0 | 0 |
2011-04-05 | 11,110 | Tuesday | 4 | 4 | 2,011 | d_67 | null | null | null | null | 1 | 1 | 1 |
2011-04-06 | 11,110 | Wednesday | 5 | 4 | 2,011 | d_68 | null | null | null | null | 1 | 1 | 1 |
2011-04-07 | 11,110 | Thursday | 6 | 4 | 2,011 | d_69 | null | null | null | null | 1 | 1 | 0 |
2011-04-08 | 11,110 | Friday | 7 | 4 | 2,011 | d_70 | null | null | null | null | 1 | 0 | 1 |
2011-04-09 | 11,111 | Saturday | 1 | 4 | 2,011 | d_71 | null | null | null | null | 1 | 1 | 1 |
2011-04-10 | 11,111 | Sunday | 2 | 4 | 2,011 | d_72 | null | null | null | null | 1 | 0 | 0 |
2011-04-11 | 11,111 | Monday | 3 | 4 | 2,011 | d_73 | null | null | null | null | 0 | 1 | 1 |
2011-04-12 | 11,111 | Tuesday | 4 | 4 | 2,011 | d_74 | null | null | null | null | 0 | 1 | 1 |
2011-04-13 | 11,111 | Wednesday | 5 | 4 | 2,011 | d_75 | null | null | null | null | 0 | 1 | 0 |
2011-04-14 | 11,111 | Thursday | 6 | 4 | 2,011 | d_76 | null | null | null | null | 0 | 0 | 1 |
2011-04-15 | 11,111 | Friday | 7 | 4 | 2,011 | d_77 | null | null | null | null | 0 | 1 | 1 |
2011-04-16 | 11,112 | Saturday | 1 | 4 | 2,011 | d_78 | null | null | null | null | 0 | 0 | 0 |
2011-04-17 | 11,112 | Sunday | 2 | 4 | 2,011 | d_79 | null | null | null | null | 0 | 0 | 0 |
2011-04-18 | 11,112 | Monday | 3 | 4 | 2,011 | d_80 | null | null | null | null | 0 | 0 | 0 |
2011-04-19 | 11,112 | Tuesday | 4 | 4 | 2,011 | d_81 | null | null | null | null | 0 | 0 | 0 |
2011-04-20 | 11,112 | Wednesday | 5 | 4 | 2,011 | d_82 | null | null | null | null | 0 | 0 | 0 |
2011-04-21 | 11,112 | Thursday | 6 | 4 | 2,011 | d_83 | null | null | null | null | 0 | 0 | 0 |
2011-04-22 | 11,112 | Friday | 7 | 4 | 2,011 | d_84 | null | null | null | null | 0 | 0 | 0 |
2011-04-23 | 11,113 | Saturday | 1 | 4 | 2,011 | d_85 | null | null | null | null | 0 | 0 | 0 |
2011-04-24 | 11,113 | Sunday | 2 | 4 | 2,011 | d_86 | null | null | null | null | 0 | 0 | 0 |
2011-04-25 | 11,113 | Monday | 3 | 4 | 2,011 | d_87 | null | null | null | null | 0 | 0 | 0 |
2011-04-26 | 11,113 | Tuesday | 4 | 4 | 2,011 | d_88 | null | null | null | null | 0 | 0 | 0 |
2011-04-27 | 11,113 | Wednesday | 5 | 4 | 2,011 | d_89 | null | null | null | null | 0 | 0 | 0 |
2011-04-28 | 11,113 | Thursday | 6 | 4 | 2,011 | d_90 | null | null | null | null | 0 | 0 | 0 |
2011-04-29 | 11,113 | Friday | 7 | 4 | 2,011 | d_91 | null | null | null | null | 0 | 0 | 0 |
2011-04-30 | 11,114 | Saturday | 1 | 4 | 2,011 | d_92 | null | null | null | null | 0 | 0 | 0 |
2011-05-01 | 11,114 | Sunday | 2 | 5 | 2,011 | d_93 | null | null | null | null | 1 | 1 | 0 |
2011-05-02 | 11,114 | Monday | 3 | 5 | 2,011 | d_94 | null | null | null | null | 1 | 0 | 1 |
2011-05-03 | 11,114 | Tuesday | 4 | 5 | 2,011 | d_95 | null | null | null | null | 1 | 1 | 1 |
2011-05-04 | 11,114 | Wednesday | 5 | 5 | 2,011 | d_96 | null | null | null | null | 1 | 0 | 0 |
2011-05-05 | 11,114 | Thursday | 6 | 5 | 2,011 | d_97 | null | null | null | null | 1 | 1 | 1 |
2011-05-06 | 11,114 | Friday | 7 | 5 | 2,011 | d_98 | null | null | null | null | 1 | 1 | 1 |
2011-05-07 | 11,115 | Saturday | 1 | 5 | 2,011 | d_99 | null | null | null | null | 1 | 1 | 0 |
2011-05-08 | 11,115 | Sunday | 2 | 5 | 2,011 | d_100 | null | null | null | null | 1 | 0 | 1 |
End of preview.
Price Response Benchmark — Raw Source Archive
가격 반응 벤치마크의 원본 소스 보존용 저장소. 벤치마크 본체는
dalpha-ai/price-response-benchmark를 사용한다. 이 저장소는 공개 플랫폼에서
원본이 삭제될 경우를 대비한 사본이다.
steam/steam-reviews.zip: Kaggle kieranpoc/steam-reviews (MIT), 113.9M reviewsolist/olist.zip: Kaggle olistbr/brazilian-ecommerce (CC BY-NC-SA 4.0)rees46/: Kaggle mkechinov 본편 zip + data.rees46.com 직배포 2019-12~2020-04 (free with attribution to REES46)m5/m5.zip: Kaggle m5-forecasting-accuracy 대회 데이터 (대회 약관 적용)
SHA-256 매니페스트는 Git 저장소 data/processed/price_response/ 참조.
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