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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 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)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.
Station
string | long
float64 | lat
float64 |
|---|---|---|
ACRU | 104.64 | 15.79 |
BAKI | 103.43 | 17.62 |
BARI | 99.52 | 15.08 |
BBHN | 98.58 | 9.54 |
BBON | 99.5 | 18.82 |
BBUA | 103.98 | 17.37 |
BBWN | 98.44 | 9.09 |
BCNG | 103.29 | 17.39 |
BDAR | 102.5 | 14.59 |
BDCP | 102.63 | 12.44 |
BDGN | 103.26 | 17.7 |
BDLH | 99.58 | 17.01 |
BDMG | 103.02 | 17.08 |
BDWN | 103.32 | 16.01 |
BGRT | 102.75 | 15.01 |
BGYN | 98.77 | 10.31 |
BHMN | 100.94 | 17.81 |
BHRA | 104.82 | 15.34 |
BHUN | 101.35 | 14.21 |
BJAN | 103.74 | 14.57 |
BJIG | 101.5 | 16.02 |
BKDN | 100.18 | 15.57 |
BKHI | 102.01 | 15.7 |
BKHL | 104.05 | 17.97 |
BKHN | 99.48 | 8.03 |
BKWN | 101.08 | 13.75 |
BLKO | 102.56 | 12.26 |
BLNG | 101.33 | 12.7 |
BLUG | 100.44 | 18.85 |
BMDG | 99.45 | 8.43 |
BMKN | 98.82 | 18.53 |
BMKO | 98.3 | 8.18 |
BMNK | 100.37 | 16.05 |
BMOD | 103.56 | 16.43 |
BNAN | 99.5 | 18.09 |
BNGR | 101.36 | 13 |
BNHG | 98.82 | 18.34 |
BNHI | 102.34 | 17.26 |
BNHO | 104.12 | 16.13 |
BNKE | 104.62 | 16.91 |
BNKK | 101.06 | 18.02 |
BNKN | 102.15 | 12.5 |
BNKP | 102.89 | 14.69 |
BNLG | 104.24 | 15.12 |
BNMK | 104.52 | 16.19 |
BNPI | 102.71 | 16.1 |
BNPU | 102.48 | 17.69 |
BNTK | 99.06 | 17.06 |
BNYM | 104.52 | 15.86 |
BOKA | 101.15 | 19.08 |
BPIA | 101.93 | 17.49 |
BPK001 | 101 | 13.55 |
BPK004 | 101.35 | 13.73 |
BPLA | 99.3 | 10.94 |
BPPS | 100 | 15.94 |
BPTG | 98.73 | 14.62 |
BPUG | 104.62 | 17.35 |
BRKM | 100.09 | 16.75 |
BSBA | 99.38 | 8.88 |
BSCL | 101.14 | 14.07 |
BSDE | 102.07 | 14.84 |
BSIK | 101.64 | 17.32 |
BSMP | 101.02 | 15.78 |
BSUM | 102.45 | 15.21 |
BSVT | 99.44 | 11.26 |
BTHI | 99.12 | 18.65 |
BTHO | 103.44 | 17.7 |
BTTI | 99.66 | 20.24 |
BTUD | 104.27 | 14.67 |
BTWN | 100.16 | 8.08 |
BUGN | 102.25 | 14.5 |
BUKT | 101.88 | 5.85 |
BUSW | 103.65 | 18.36 |
BWKG | 100.27 | 16.61 |
BYNU | 98.32 | 7.77 |
CATK | 99.46 | 13.98 |
CBUR | 99.08 | 8.45 |
CCSS | 99.13 | 10.62 |
CEHM | 99.58 | 18.71 |
CGDO | 98.96 | 19.34 |
CGKG | 100.4 | 20.26 |
CGKM | 100.3 | 19.53 |
CGMN | 100.29 | 18.89 |
CGSN | 100.07 | 20.24 |
CHHA | 100.21 | 18.09 |
CHI003 | 102.01 | 15.68 |
CHI005 | 102.57 | 16.1 |
CHI006 | 102.79 | 16.33 |
CHI010 | 104.25 | 15.52 |
CHI011 | 104.55 | 15.32 |
CHI012 | 103.27 | 16.23 |
CHI013 | 103.47 | 16.41 |
CHKG | 98.36 | 18.51 |
CHM001 | 98.96 | 19.01 |
CHM002 | 98.63 | 18.18 |
CHM003 | 99.36 | 20.06 |
CHM004 | 98.97 | 19.37 |
CHNA | 99.27 | 8.25 |
CHPA | 103.61 | 15.11 |
CHR001 | 99.78 | 19.83 |
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