Datasets:

---

Runnies23

/

onlineweek2_raw

like 0

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 499 new columns ({'BPK001', 'STH016', 'WNKH', 'VLGE26', 'BDAR', 'DNCM', 'CHUN', 'KMSI', 'TANA', 'TTWY', 'KKTO', 'PVEE', 'KUBR', 'KUAM', 'SGKM', 'CNDN', 'CPY015', 'BSDE', 'NBLK', 'CPON', 'NGCG', 'TPUR', 'BUGN', 'KHDM', 'PIN005', 'PPAN', 'MNRM', 'BJIG', 'HNKA', 'WAN001', 'KGTP', 'KOSK', 'MUN014', 'CMSG', 'KMCE', 'BSBA', 'DTAN', 'CGSN', 'KOKN', 'SVI002', 'CLPK', 'VLGE09', 'DKLG', 'NNPT', 'SVI001', 'SWNG', 'HSYO', 'WTCH', 'BGYN', 'CHR005', 'PIN002', 'JBLG', 'SLA007', 'THTN', 'TAKI', 'PYO001', 'UPCT', 'TAPE', 'BTWN', 'CGKM', 'DMKH', 'CGKG', 'CHI003', 'CHKG', 'NOKG', 'RBPI', 'MNDM', 'NGPI', 'SAY002', 'CPY004', 'RGKG', 'WAN005', 'RMMI', 'SYKP', 'NNKO', 'NKTI', 'DGSL', 'Hour', 'BTUD', 'MEWG', 'WAN003', 'BUSW', 'CHM004', 'TTLG', 'SENM', 'NGNG', 'SOKL', 'KAOP', 'PRC002', 'KMTK', 'BLUG', 'NMPT', 'MUN005', 'TSUD', 'BBWN', 'BSVT', 'TPI001', 'BNYM', 'HUKT', 'TRON', 'KHOG', 'BCNG', 'POCE', 'UDMS', 'NKOK', 'PNCR', 'KON001', 'BNLG', 'NMUB', 'NKO001', 'VLGE03', 'STH025', 'CHR003', 'PAT001', 'NAN011', 'CHI012', 'TTKO', 'NAPK', 'TKNT', 'NKSG', 'PAS008', 'NAKU', 'KSOD', 'NAN009', 'DKMU', 'SITP', 'PAS002', 'WTSG', 'MUNG', 'CHNA', 'HNCG', 'MRMT', 'NASG', 'PGKH', 'STH029', 'KNDG', 'CTKN', 'DIV002', 'HUYG', 'BDLH', 'CHM003', 'SPPT', 'NGCH', 'BJAN', 'VLGE31', 'SKM001', 'BLKO', 'BNKE', 'THNM', 'BNHI', 'MMMO', 'BNPU', 'MGTI', 'PAI001', 'NANP', 'BKHL', 'BTHI', 'NMKH', 'BNGR', 'PADT', 'SWKL', 'KAKG', 'HOTT', 'LPLE', 'TRD001', 'VLGE02', 'WGCI', 'BOKA', 'HTTM', 'BNKN', 'NPSD', 'PHON', 'CCSS', 'KKPA', 'BLNG', 'RIKK', 'TKFA',
...
STH008', 'KRN002', 'KRKM', 'TKP002', 'TOGO', 'WNMI', 'Day', 'CHM001', 'THCG', 'CHI010', 'STSK', 'PYMR', 'SSRG', 'HJRN1', 'VLGE29', 'NKO002', 'KWSI', 'BNAN', 'MUN002', 'WGNA', 'WGRY', 'KSPS', 'STH014', 'BMKO', 'NANG', 'BBUA', 'SPWA', 'LNSK', 'BMKN', 'YOM006', 'KKCN', 'CHPA', 'STWN', 'VLGE01', 'VLGE39', 'HNRE', 'POCG', 'CBUR', 'BPTG', 'SLA003', 'KTLE', 'NPCT', 'KABG', 'CHTG', 'PRC003', 'MUN011', 'HYOD', 'PRGB', 'TKPP', 'CGMN', 'PAI002', 'CHR004', 'YOM007', 'BARI', 'LGTI', 'SGKW', 'VLGE07', 'KKHA', 'WCTK', 'TUKW', 'MCRM', 'WGHG', 'NPI002', 'WGPO', 'PSLI', 'TLAN', 'SKG002', 'BNKP', 'BNHG', 'TNG002', 'KPEM', 'VLGE25', 'DCCT', 'PLTL', 'PTWY', 'HKTG', 'NSRS', 'NMNO', 'NMKO', 'NAMN', 'LTYO', 'NKYG', 'BKHN', 'KOKO', 'PONG', 'SNSI', 'SRKT', 'NTNG', 'YOM010', 'BNKK', 'MEPK', 'PTLE', 'KHHM', 'NKMT', 'DITO', 'TPPN', 'TSLM', 'BHRA', 'LHOK', 'NNDG', 'NYK000', 'STU001', 'BPIA', 'YOM005', 'WBYN', 'STH022', 'BDMG', 'TPI005', 'DIV003', 'PANC', 'BPPS', 'TPI007', 'BTHO', 'LMPN', 'SKKG', 'TLPC', 'STH007', 'WAN004', 'PHKD', 'WGTG', 'YOM009', 'FANG', 'SWAR', 'WCBR', 'KON004', 'NAN003', 'RFBK', 'SLA001', 'NBON', 'KOLO', 'VLGE13', 'SKE001', 'WGSA', 'CHM002', 'CSMO', 'SLA002', 'NASW', 'SYTL', 'THA001', 'WPAP', 'GLF001', 'HCTT', 'NAN010', 'PPRM', 'PRUK', 'BDCP', 'KGKG', 'NAN004', 'UTOG', 'YOM008', 'CKLG', 'PPTC', 'TKRA', 'MKTR', 'BNMK', 'WCHN', 'KGLN', 'YOM003', 'CPY013', 'SKPG', 'DSKT', 'MKKB', 'NGSC', 'KANG', 'BSUM', 'WSPN', 'TAKL', 'BPUG', 'NGSU', 'VLGE33', 'NSNO', 'BMDG', 'PMPN', 'SKM005', 'NPI001'}) and 3 missing columns ({'long', 'Station', 'lat'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Runnies23/onlineweek2_raw/GSMap_now_station_2021-2024.csv (at revision 18bdf34bd38e90b2534bc7f3529348aa4787a649)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Year: int64
              Month: int64
              Day: int64
              Hour: int64
              ACRU: double
              BAKI: double
              BARI: double
              BBHN: double
              BBON: double
              BBUA: double
              BBWN: double
              BCNG: double
              BDAR: double
              BDCP: double
              BDGN: double
              BDLH: double
              BDMG: double
              BDWN: double
              BGRT: double
              BGYN: double
              BHMN: double
              BHRA: double
              BHUN: double
              BJAN: double
              BJIG: double
              BKDN: double
              BKHI: double
              BKHL: double
              BKHN: double
              BKWN: double
              BLKO: double
              BLNG: double
              BLUG: double
              BMDG: double
              BMKN: double
              BMKO: double
              BMNK: double
              BMOD: double
              BNAN: double
              BNGR: double
              BNHG: double
              BNHI: double
              BNHO: double
              BNKE: double
              BNKK: double
              BNKN: double
              BNKP: double
              BNLG: double
              BNMK: double
              BNPI: double
              BNPU: double
              BNTK: double
              BNYM: double
              BOKA: double
              BPIA: double
              BPK001: double
              BPK004: double
              BPLA: double
              BPPS: double
              BPTG: double
              BPUG: double
              BRKM: double
              BSBA: double
              BSCL: double
              BSDE: double
              BSIK: double
              BSMP: double
              BSUM: double
              BSVT: double
              BTHI: double
              BTHO: double
              BTTI: double
              BTUD: double
              BTWN: double
              BUGN: double
              BUKT: double
              BUSW: double
              BWKG: double
              BYNU: double
              CATK: double
              CBUR: double
              CCSS: double
              CEHM: double
              CGDO: double
              CGKG: double
              CGKM: double
              CGMN: double
              CGSN: double
              CHHA: double
              CHI003: double
              CHI005: double
              CHI006: double
              CHI010: double
              CHI011: double
              CHI012: double
              CHI013: double
              CHKG: double
              CHM001: double
              CHM002: double
              CHM003: double
              CHM004: double
              CHNA: double
              CHPA: double
              CHR001: double
              CHR003: double
              CHR004: double
              CHR005: double
              CHTG: double
              CHUN: double
              CKLG: double
              CLPK: double
              CMSG: double
              CNDN: double
              C
              ...
              le
              SWKL: double
              SWNG: double
              SYKP: double
              SYTL: double
              TAKI: double
              TAKL: double
              TANA: double
              TAPE: double
              TARE: double
              TEPT: double
              TETN: double
              TGLG: double
              TGSK: double
              THA001: double
              THAT: double
              THCG: double
              THNM: double
              THTN: double
              TKFA: double
              TKNT: double
              TKP002: double
              TKPP: double
              TKRA: double
              TLAN: double
              TLPC: double
              TMLI: double
              TNG001: double
              TNG002: double
              TOGO: double
              TPI001: double
              TPI002: double
              TPI003: double
              TPI004: double
              TPI005: double
              TPI007: double
              TPPN: double
              TPTN: double
              TPUR: double
              TRD001: double
              TRON: double
              TSLM: double
              TSUD: double
              TTKO: double
              TTLG: double
              TTWY: double
              TUKW: double
              UDMS: double
              UPCT: double
              UTOG: double
              VLGE01: double
              VLGE02: double
              VLGE03: double
              VLGE07: double
              VLGE09: double
              VLGE13: double
              VLGE14: double
              VLGE24: double
              VLGE25: double
              VLGE26: double
              VLGE29: double
              VLGE31: double
              VLGE32: double
              VLGE33: double
              VLGE39: double
              WAN001: double
              WAN002: double
              WAN003: double
              WAN004: double
              WAN005: double
              WBYN: double
              WCBR: double
              WCHN: double
              WCTK: double
              WEI071: double
              WGCI: double
              WGHG: double
              WGKN: double
              WGNA: double
              WGPO: double
              WGRY: double
              WGSA: double
              WGTG: double
              WNKH: double
              WNMI: double
              WPAP: double
              WRRS: double
              WSPN: double
              WSTG: double
              WTBT: double
              WTCH: double
              WTLG: double
              WTSG: double
              YGHM: double
              YOM001: double
              YOM003: double
              YOM005: double
              YOM006: double
              YOM007: double
              YOM008: double
              YOM009: double
              YOM010: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 55192
              to
              {'Station': Value(dtype='string', id=None), 'long': Value(dtype='float64', id=None), 'lat': Value(dtype='float64', id=None)}
              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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 499 new columns ({'BPK001', 'STH016', 'WNKH', 'VLGE26', 'BDAR', 'DNCM', 'CHUN', 'KMSI', 'TANA', 'TTWY', 'KKTO', 'PVEE', 'KUBR', 'KUAM', 'SGKM', 'CNDN', 'CPY015', 'BSDE', 'NBLK', 'CPON', 'NGCG', 'TPUR', 'BUGN', 'KHDM', 'PIN005', 'PPAN', 'MNRM', 'BJIG', 'HNKA', 'WAN001', 'KGTP', 'KOSK', 'MUN014', 'CMSG', 'KMCE', 'BSBA', 'DTAN', 'CGSN', 'KOKN', 'SVI002', 'CLPK', 'VLGE09', 'DKLG', 'NNPT', 'SVI001', 'SWNG', 'HSYO', 'WTCH', 'BGYN', 'CHR005', 'PIN002', 'JBLG', 'SLA007', 'THTN', 'TAKI', 'PYO001', 'UPCT', 'TAPE', 'BTWN', 'CGKM', 'DMKH', 'CGKG', 'CHI003', 'CHKG', 'NOKG', 'RBPI', 'MNDM', 'NGPI', 'SAY002', 'CPY004', 'RGKG', 'WAN005', 'RMMI', 'SYKP', 'NNKO', 'NKTI', 'DGSL', 'Hour', 'BTUD', 'MEWG', 'WAN003', 'BUSW', 'CHM004', 'TTLG', 'SENM', 'NGNG', 'SOKL', 'KAOP', 'PRC002', 'KMTK', 'BLUG', 'NMPT', 'MUN005', 'TSUD', 'BBWN', 'BSVT', 'TPI001', 'BNYM', 'HUKT', 'TRON', 'KHOG', 'BCNG', 'POCE', 'UDMS', 'NKOK', 'PNCR', 'KON001', 'BNLG', 'NMUB', 'NKO001', 'VLGE03', 'STH025', 'CHR003', 'PAT001', 'NAN011', 'CHI012', 'TTKO', 'NAPK', 'TKNT', 'NKSG', 'PAS008', 'NAKU', 'KSOD', 'NAN009', 'DKMU', 'SITP', 'PAS002', 'WTSG', 'MUNG', 'CHNA', 'HNCG', 'MRMT', 'NASG', 'PGKH', 'STH029', 'KNDG', 'CTKN', 'DIV002', 'HUYG', 'BDLH', 'CHM003', 'SPPT', 'NGCH', 'BJAN', 'VLGE31', 'SKM001', 'BLKO', 'BNKE', 'THNM', 'BNHI', 'MMMO', 'BNPU', 'MGTI', 'PAI001', 'NANP', 'BKHL', 'BTHI', 'NMKH', 'BNGR', 'PADT', 'SWKL', 'KAKG', 'HOTT', 'LPLE', 'TRD001', 'VLGE02', 'WGCI', 'BOKA', 'HTTM', 'BNKN', 'NPSD', 'PHON', 'CCSS', 'KKPA', 'BLNG', 'RIKK', 'TKFA',
              ...
              STH008', 'KRN002', 'KRKM', 'TKP002', 'TOGO', 'WNMI', 'Day', 'CHM001', 'THCG', 'CHI010', 'STSK', 'PYMR', 'SSRG', 'HJRN1', 'VLGE29', 'NKO002', 'KWSI', 'BNAN', 'MUN002', 'WGNA', 'WGRY', 'KSPS', 'STH014', 'BMKO', 'NANG', 'BBUA', 'SPWA', 'LNSK', 'BMKN', 'YOM006', 'KKCN', 'CHPA', 'STWN', 'VLGE01', 'VLGE39', 'HNRE', 'POCG', 'CBUR', 'BPTG', 'SLA003', 'KTLE', 'NPCT', 'KABG', 'CHTG', 'PRC003', 'MUN011', 'HYOD', 'PRGB', 'TKPP', 'CGMN', 'PAI002', 'CHR004', 'YOM007', 'BARI', 'LGTI', 'SGKW', 'VLGE07', 'KKHA', 'WCTK', 'TUKW', 'MCRM', 'WGHG', 'NPI002', 'WGPO', 'PSLI', 'TLAN', 'SKG002', 'BNKP', 'BNHG', 'TNG002', 'KPEM', 'VLGE25', 'DCCT', 'PLTL', 'PTWY', 'HKTG', 'NSRS', 'NMNO', 'NMKO', 'NAMN', 'LTYO', 'NKYG', 'BKHN', 'KOKO', 'PONG', 'SNSI', 'SRKT', 'NTNG', 'YOM010', 'BNKK', 'MEPK', 'PTLE', 'KHHM', 'NKMT', 'DITO', 'TPPN', 'TSLM', 'BHRA', 'LHOK', 'NNDG', 'NYK000', 'STU001', 'BPIA', 'YOM005', 'WBYN', 'STH022', 'BDMG', 'TPI005', 'DIV003', 'PANC', 'BPPS', 'TPI007', 'BTHO', 'LMPN', 'SKKG', 'TLPC', 'STH007', 'WAN004', 'PHKD', 'WGTG', 'YOM009', 'FANG', 'SWAR', 'WCBR', 'KON004', 'NAN003', 'RFBK', 'SLA001', 'NBON', 'KOLO', 'VLGE13', 'SKE001', 'WGSA', 'CHM002', 'CSMO', 'SLA002', 'NASW', 'SYTL', 'THA001', 'WPAP', 'GLF001', 'HCTT', 'NAN010', 'PPRM', 'PRUK', 'BDCP', 'KGKG', 'NAN004', 'UTOG', 'YOM008', 'CKLG', 'PPTC', 'TKRA', 'MKTR', 'BNMK', 'WCHN', 'KGLN', 'YOM003', 'CPY013', 'SKPG', 'DSKT', 'MKKB', 'NGSC', 'KANG', 'BSUM', 'WSPN', 'TAKL', 'BPUG', 'NGSU', 'VLGE33', 'NSNO', 'BMDG', 'PMPN', 'SKM005', 'NPI001'}) and 3 missing columns ({'long', 'Station', 'lat'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Runnies23/onlineweek2_raw/GSMap_now_station_2021-2024.csv (at revision 18bdf34bd38e90b2534bc7f3529348aa4787a649)
              
              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)