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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 9 new columns ({'Unnamed: 0', 'P_F', 'VPD_F', 'TA_F', 'NEE_F', 'FCH4_F_ANNOPTLM', 'TIMESTAMP', 'FCH4_F', 'Site'}) and 10 missing columns ({'LOCATION_ELEV', 'LOCATION_LAT', 'FLUXNET-CH4', 'MAT', 'LOCATION_LONG', 'IGBP', 'MAP', 'SITE_ID', 'SITE_NAME', 'FLUXNET2015'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ymsun99/X-MethaneWet/FLUXNET-CH4/FLUXNET_T1_DD.csv (at revision c445a98ffb0a99407cf7db7ca234901ae2e8cc98)
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
Unnamed: 0: string
TIMESTAMP: string
FCH4_F_ANNOPTLM: double
NEE_F: double
TA_F: double
VPD_F: double
P_F: double
FCH4_F: double
Site: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1291
to
{'SITE_ID': Value('string'), 'SITE_NAME': Value('string'), 'FLUXNET2015': Value('string'), 'FLUXNET-CH4': Value('string'), 'LOCATION_LAT': Value('float64'), 'LOCATION_LONG': Value('float64'), 'LOCATION_ELEV': Value('float64'), 'IGBP': Value('string'), 'MAT': Value('float64'), 'MAP': Value('float64')}
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 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
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 9 new columns ({'Unnamed: 0', 'P_F', 'VPD_F', 'TA_F', 'NEE_F', 'FCH4_F_ANNOPTLM', 'TIMESTAMP', 'FCH4_F', 'Site'}) and 10 missing columns ({'LOCATION_ELEV', 'LOCATION_LAT', 'FLUXNET-CH4', 'MAT', 'LOCATION_LONG', 'IGBP', 'MAP', 'SITE_ID', 'SITE_NAME', 'FLUXNET2015'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ymsun99/X-MethaneWet/FLUXNET-CH4/FLUXNET_T1_DD.csv (at revision c445a98ffb0a99407cf7db7ca234901ae2e8cc98)
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.
SITE_ID string | SITE_NAME string | FLUXNET2015 string | FLUXNET-CH4 string | LOCATION_LAT float64 | LOCATION_LONG float64 | LOCATION_ELEV float64 | IGBP string | MAT float64 | MAP float64 |
|---|---|---|---|---|---|---|---|---|---|
AT-Neu | Neustift | CC-BY-4.0 | CC-BY-4.0 | 47.1167 | 11.3175 | 970 | GRA | 6.5 | 852 |
BR-Npw | Northern Pantanal Wetland | null | CC-BY-4.0 | -16.498 | -56.412 | 120 | WSA | 24.9 | 1,486 |
BW-Gum | Guma | null | CC-BY-4.0 | -18.9647 | 22.3711 | 950 | WET | 21 | 460 |
BW-Nxr | Nxaraga | null | CC-BY-4.0 | -19.5481 | 23.1792 | 950 | GRA | 21 | 460 |
CA-SCB | Scotty Creek Bog | null | CC-BY-4.0 | 61.3089 | -121.2984 | 280 | WET | -2.8 | 388 |
CA-SCC | Scotty Creek Landscape | null | CC-BY-4.0 | 61.3079 | -121.2992 | 285 | ENF | -2.8 | 387.6 |
CH-Cha | Chamau | CC-BY-4.0 | CC-BY-4.0 | 47.2102 | 8.4104 | 393 | GRA | 9.5 | 1,136 |
CH-Dav | Davos | CC-BY-4.0 | CC-BY-4.0 | 46.8153 | 9.8559 | 1,639 | ENF | 2.8 | 1,062 |
CH-Oe2 | Oensingen crop | CC-BY-4.0 | CC-BY-4.0 | 47.2864 | 7.7337 | 452 | CRO | 9.8 | 1,155 |
CN-Hgu | Hongyuan | null | CC-BY-4.0 | 32.8453 | 102.59 | 3,500 | GRA | 1.5 | 747 |
DE-Dgw | Dagowsee | null | CC-BY-4.0 | 53.1514 | 13.0543 | 60 | WAT | 9.02 | 602.9 |
DE-Hte | Huetelmoor | null | CC-BY-4.0 | 54.2103 | 12.1761 | 0.2 | WET | 9.2 | 645 |
DE-SfN | Schechenfilz Nord | CC-BY-4.0 | CC-BY-4.0 | 47.8064 | 11.3275 | 590 | WET | 8.6 | 1,127 |
DE-Zrk | Zarnekow | CC-BY-4.0 | CC-BY-4.0 | 53.8759 | 12.889 | 0 | WET | 8.7 | 584 |
FI-Hyy | Hyytiala | CC-BY-4.0 | CC-BY-4.0 | 61.8474 | 24.2948 | 181 | ENF | 3.8 | 709 |
FI-Lom | Lompolojankka | CC-BY-4.0 | CC-BY-4.0 | 67.9972 | 24.2092 | 274 | WET | -1.4 | 484 |
FI-Si2 | Siikaneva-2 Bog | null | CC-BY-4.0 | 61.8372 | 24.1967 | 160 | WET | 3.5 | 701 |
FI-Sii | Siikaneva | null | CC-BY-4.0 | 61.8327 | 24.1928 | 160 | WET | 3.5 | 701 |
FR-LGt | La Guette | null | CC-BY-4.0 | 47.3229 | 2.2841 | null | WET | null | null |
HK-MPM | Mai Po Mangrove | null | CC-BY-4.0 | 22.4982 | 114.0292 | -1 | EBF | 23.3 | 1,400 |
ID-Pag | Palangkaraya undrained forest | null | CC-BY-4.0 | -2.32 | 113.9 | 30 | EBF | 26.2 | 2,546 |
IT-BCi | Borgo Cioffi | CC-BY-4.0 | CC-BY-4.0 | 40.5237 | 14.9574 | 20 | CRO | 18 | 600 |
IT-Cas | Castellaro | null | CC-BY-4.0 | 45.07 | 8.7175 | 89 | CRO | 11.9 | null |
JP-BBY | Bibai bog | null | CC-BY-4.0 | 43.323 | 141.8107 | null | WET | null | null |
JP-Mse | Mase rice paddy field | null | CC-BY-4.0 | 36.0539 | 140.0269 | null | CRO | null | null |
JP-SwL | Suwa Lake | null | CC-BY-4.0 | 36.0466 | 138.1084 | null | WAT | null | null |
KR-CRK | Cheorwon Rice paddy | null | CC-BY-4.0 | 38.2013 | 127.2506 | 182 | CRO | 11.2 | 1,180.9 |
MY-MLM | Maludam National Park | null | CC-BY-4.0 | 1.4536 | 111.1495 | null | EBF | null | null |
NL-Hor | Horstermeer | CC-BY-4.0 | CC-BY-4.0 | 52.2403 | 5.0713 | 2.2 | GRA | 10 | 800 |
NZ-Kop | Kopuatai | null | CC-BY-4.0 | -37.3879 | 175.5539 | null | EBF | null | null |
PH-RiF | Philippines Rice Institute flooded | null | CC-BY-4.0 | 14.1412 | 121.2653 | 27 | CRO | 27.5 | 2,112 |
RU-Ch2 | Chersky reference | null | CC-BY-4.0 | 68.6169 | 161.3509 | 4 | WET | -12.5 | 200 |
RU-Che | Cherski | CC-BY-4.0 | CC-BY-4.0 | 68.613 | 161.3414 | 6 | WET | -11 | 197 |
RU-Cok | Chokurdakh | CC-BY-4.0 | CC-BY-4.0 | 70.8291 | 147.4943 | 48 | OSH | -14.3 | 232 |
RU-Fy2 | Fyodorovskoye dry spruce | null | CC-BY-4.0 | 56.4476 | 32.9019 | null | ENF | 4.39 | 668.53 |
SE-Deg | Degero | null | CC-BY-4.0 | 64.182 | 19.5565 | 270 | GRA | 1.2 | 523 |
UK-LBT | London_BT | null | CC-BY-4.0 | 51.5215 | -0.1389 | 21 | URB | 11.3 | 592 |
US-A03 | ARM-AMF3-Oliktok | null | CC-BY-4.0 | 70.4953 | -149.8823 | 5 | BSV | -11.2 | 115.1 |
US-A10 | ARM-NSA-Barrow | null | CC-BY-4.0 | 71.3242 | -156.6149 | 4 | BSV | -11.2 | 115.1 |
US-Atq | Atqasuk | CC-BY-4.0 | CC-BY-4.0 | 70.4696 | -157.4089 | 15 | WET | -9.7 | 93 |
US-BZB | Bonanza Creek Thermokarst Bog | null | CC-BY-4.0 | 64.6955 | -148.3208 | 100 | WET | -2.4 | 274 |
US-BZF | Bonanza Creek Rich Fen | null | CC-BY-4.0 | 64.7013 | -148.3121 | 95 | WET | -2.4 | 274 |
US-BZS | Bonanza Creek Black Spruce | null | CC-BY-4.0 | 64.6963 | -148.3235 | 100 | ENF | -2.4 | 274 |
US-Beo | Barrow Environmental Observatory (BEO) tower | null | CC-BY-4.0 | 71.281 | -156.6123 | null | WET | -11.3 | 72 |
US-Bes | Barrow-Bes (Biocomplexity Experiment South tower) | null | CC-BY-4.0 | 71.2809 | -156.5965 | 4.6 | WET | -12 | 173 |
US-Bi1 | Bouldin Island Alfalfa | null | CC-BY-4.0 | 38.0992 | -121.4993 | -2.7 | CRO | 16 | 338 |
US-Bi2 | Bouldin Island corn | null | CC-BY-4.0 | 38.1091 | -121.5351 | -5 | CRO | 16 | 338 |
US-CRT | Curtice Walter-Berger cropland | CC-BY-4.0 | CC-BY-4.0 | 41.6285 | -83.3471 | 180 | CRO | 10.1 | 849 |
US-DPW | Disney Wilderness Preserve Wetland | null | CC-BY-4.0 | 28.0521 | -81.4361 | 23 | WET | 22.6 | 1,142 |
US-EDN | Eden Landing Ecological Reserve | null | CC-BY-4.0 | 37.6156 | -122.114 | null | WET | null | null |
US-EML | Eight Mile Lake Permafrost thaw gradient, Healy Alaska. | null | CC-BY-4.0 | 63.8784 | -149.2536 | 662 | OSH | -1 | 378 |
US-HRA | Humnoke Farm Rice Field – Field A | null | CC-BY-4.0 | 34.5852 | -91.7517 | null | CRO | 16.7 | 1,250 |
US-HRC | Humnoke Farm Rice Field – Field C | null | CC-BY-4.0 | 34.5888 | -91.7517 | null | CRO | 16.7 | 1,250 |
US-Ho1 | Howland Forest (main tower) | null | CC-BY-4.0 | 45.2041 | -68.7402 | 60 | ENF | 5.27 | 1,070 |
US-ICs | Imnavait Creek Watershed Wet Sedge Tundra | null | CC-BY-4.0 | 68.6058 | -149.311 | 920 | WET | -7.4 | 318 |
US-Ivo | Ivotuk | CC-BY-4.0 | CC-BY-4.0 | 68.4865 | -155.7503 | 568 | WET | -8.28 | 304 |
US-LA1 | Pointe-aux-Chenes Brackish Marsh | null | CC-BY-4.0 | 29.5013 | -90.4449 | 0 | WET | 20.7 | 1,625 |
US-LA2 | Salvador WMA Freshwater Marsh | null | CC-BY-4.0 | 29.8587 | -90.2869 | 0 | WET | 20.2 | 1,655 |
US-Los | Lost Creek | CC-BY-4.0 | CC-BY-4.0 | 46.0827 | -89.9792 | 480 | WET | 4.08 | 828 |
US-MAC | MacArthur Agro-Ecology | null | CC-BY-4.0 | 27.1632 | -81.1873 | null | WET | null | null |
US-MRM | Marsh Resource Meadowlands Mitigation Bank | null | CC-BY-4.0 | 40.8164 | -74.0435 | 1 | WET | 13.5 | 1,120 |
US-Myb | Mayberry Wetland | CC-BY-4.0 | CC-BY-4.0 | 38.0499 | -121.765 | -4 | WET | 15.9 | 338 |
US-NC4 | NC_AlligatorRiver | null | CC-BY-4.0 | 35.7879 | -75.9038 | 1 | WET | 16.6 | 1,311 |
US-NGB | NGEE Arctic Barrow | null | CC-BY-4.0 | 71.28 | -156.6092 | 5.273 | SNO | -11.27 | 171 |
US-NGC | NGEE Arctic Council | null | CC-BY-4.0 | 64.8618 | -163.7002 | 35 | GRA | null | null |
US-ORv | Olentangy River Wetland Research Park | CC-BY-4.0 | CC-BY-4.0 | 40.0201 | -83.0183 | 221 | WET | 11.63 | 1,499.1 |
US-OWC | Old Woman Creek | null | CC-BY-4.0 | 41.3795 | -82.5125 | 174 | WET | 10.7 | 930 |
US-PFa | Park Falls/WLEF | CC-BY-4.0 | CC-BY-4.0 | 45.9459 | -90.2723 | 470 | MF | 4.33 | 823 |
US-Snd | Sherman Island | null | CC-BY-4.0 | 38.0366 | -121.754 | -5 | GRA | 15.6 | 358 |
US-Sne | Sherman Island Restored Wetland | null | CC-BY-4.0 | 38.0369 | -121.7547 | -5 | GRA | 16.09 | 311 |
US-Srr | Suisun marsh - Rush Ranch | null | CC-BY-4.0 | 38.2006 | -122.0264 | 8 | WET | 15.1 | 326 |
US-StJ | St Jones Reserve | null | CC-BY-4.0 | 39.0882 | -75.4372 | 6.7 | WET | 13.5 | 1,121 |
US-Tw1 | Twitchell Wetland West Pond | CC-BY-4.0 | CC-BY-4.0 | 38.1074 | -121.6469 | -5 | WET | 15.5 | 421 |
US-Tw3 | Twitchell Alfalfa | CC-BY-4.0 | CC-BY-4.0 | 38.1152 | -121.6469 | -4 | CRO | 15.6 | 421 |
US-Tw4 | Twitchell East End Wetland | CC-BY-4.0 | CC-BY-4.0 | 38.1027 | -121.6413 | -5 | WET | 15.6 | 421 |
US-Tw5 | East Pond Wetland | null | CC-BY-4.0 | 38.1072 | -121.6426 | -5 | WET | 15.5 | 421 |
US-Twt | Twitchell Island | CC-BY-4.0 | CC-BY-4.0 | 38.1087 | -121.6531 | -7 | CRO | 15.6 | 421 |
US-Uaf | University of Alaska, Fairbanks | null | CC-BY-4.0 | 64.8663 | -147.8555 | 155 | ENF | -2.9 | 263 |
US-WPT | Winous Point North Marsh | CC-BY-4.0 | CC-BY-4.0 | 41.4646 | -82.9962 | 175 | WET | 10.1 | 849 |
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End of preview.