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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 26 new columns ({'swir16', 'green', 'blue', 'rededge2', 'nir08', 'time', 'spatial_ref', 'coastal', 'success', 'cloud_cover', 'ndre', 'red', 'nir', 'evi', 'ndvi', 'band', 'ndbi', 'error', 'savi', 'rededge3', 'ndwi', 'cirrus', 'tiff_count', 'rededge1', 'swir22', 'wvp'}) and 3 missing columns ({'Target', 'year', 'class'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Paulownia/AMINIFM_Train_Two/satellite_data/enhanced_train_data.csv (at revision f20528c9baf7104570c78a8f79c66d89526b2e0b)

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
              unique_id: string
              x: double
              y: double
              success: bool
              tiff_count: int64
              error: double
              time: string
              cloud_cover: double
              band: int64
              spatial_ref: int64
              coastal: double
              blue: double
              green: double
              red: double
              rededge1: double
              rededge2: double
              rededge3: double
              nir: double
              nir08: double
              wvp: double
              cirrus: double
              swir16: double
              swir22: double
              ndvi: double
              evi: double
              savi: double
              ndre: double
              ndwi: double
              ndbi: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3486
              to
              {'unique_id': Value('string'), 'x': Value('float64'), 'y': Value('float64'), 'year': Value('int64'), 'Target': Value('string'), 'class': 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 26 new columns ({'swir16', 'green', 'blue', 'rededge2', 'nir08', 'time', 'spatial_ref', 'coastal', 'success', 'cloud_cover', 'ndre', 'red', 'nir', 'evi', 'ndvi', 'band', 'ndbi', 'error', 'savi', 'rededge3', 'ndwi', 'cirrus', 'tiff_count', 'rededge1', 'swir22', 'wvp'}) and 3 missing columns ({'Target', 'year', 'class'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Paulownia/AMINIFM_Train_Two/satellite_data/enhanced_train_data.csv (at revision f20528c9baf7104570c78a8f79c66d89526b2e0b)
              
              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.

unique_id
string
x
float64
y
float64
year
int64
Target
string
class
int64
ID_h14T0B
3,108.10949
531,543.67766
2,024
Rubber
3
ID_KbyKOr
43,293.255541
528,310.772921
2,024
Rubber
3
ID_t4Tmmn
45,321.599104
543,011.547675
2,024
Rubber
3
ID_yipWoC
42,985.433573
528,478.406653
2,024
Rubber
3
ID_XKiksa
-1,448.614596
516,919.774695
2,024
Rubber
3
ID_zNx6qQ
28,494.120223
515,763.424715
2,024
Rubber
3
ID_KfCbOO
8,430.04033
560,698.718089
2,024
Palm
2
ID_ZUfp59
1,467.950038
526,121.421316
2,024
Palm
2
ID_DdAycp
-935.869271
523,813.395673
2,024
Palm
2
ID_X9dg4u
-513.979868
518,416.519801
2,024
Rubber
3
ID_KmpsdP
30,111.434446
514,939.867808
2,024
Rubber
3
ID_zQBRwA
28,054.473457
519,218.869186
2,024
Rubber
3
ID_xUSwCk
28,026.665757
509,636.066707
2,024
Rubber
3
ID_gwbXk8
44,716.042384
527,911.117895
2,024
Rubber
3
ID_Fb9ZE5
3,126.269792
529,070.177365
2,024
Palm
2
ID_SBD56I
32,209.440897
518,248.529492
2,024
Rubber
3
ID_7vucQ9
277.135879
519,700.168368
2,024
Palm
2
ID_JYvjgw
64,778.004833
518,056.815313
2,024
Rubber
3
ID_d4AUvT
44,451.226046
527,268.672244
2,024
Rubber
3
ID_qHSqbD
48,797.440939
540,673.529977
2,024
Rubber
3
ID_njDllu
-1,772.360427
527,549.361776
2,024
Rubber
3
ID_b7J6Nq
64,802.793592
519,903.429943
2,024
Rubber
3
ID_WCmEEu
28,739.093601
516,681.497262
2,024
Rubber
3
ID_cRnoWK
3,127.993198
531,999.130575
2,024
Palm
2
ID_eAzoCs
44,753.540671
528,053.880293
2,024
Rubber
3
ID_oAS61h
46,419.647086
545,086.714284
2,024
Rubber
3
ID_fJ3a9J
-5,552.500812
519,452.682425
2,024
Rubber
3
ID_k2fuUk
44,262.584054
530,075.707578
2,024
Rubber
3
ID_QBGORT
30,245.985903
516,982.538987
2,024
Rubber
3
ID_dnPsmj
2,150.919655
524,581.81971
2,024
Rubber
3
ID_Os9CYK
44,761.651421
529,166.476359
2,024
Rubber
3
ID_u3MhaM
-1,560.880713
516,953.628474
2,024
Rubber
3
ID_Vl5pXH
2,063.579304
523,721.277042
2,024
Palm
2
ID_JYpt3c
45,901.793077
547,102.70024
2,024
Rubber
3
ID_r79TJv
3,653.293296
532,020.306019
2,024
Palm
2
ID_rGGiwg
42,251.038708
529,561.814034
2,024
Rubber
3
ID_Vyy7Dx
-2,396.980553
527,366.099225
2,024
Palm
2
ID_OBSqEx
29,946.061469
519,040.681275
2,024
Rubber
3
ID_tU8CXe
42,470.683221
528,284.381802
2,024
Rubber
3
ID_GfnIdk
44,186.970981
528,614.664307
2,024
Rubber
3
ID_Xh1pvu
30,001.778053
516,944.964331
2,024
Rubber
3
ID_F5tDRL
44,594.140096
528,925.375896
2,024
Rubber
3
ID_TD7su6
29,306.711712
516,011.160141
2,024
Rubber
3
ID_CmYl2G
-487.862616
527,399.279971
2,024
Palm
2
ID_8mbQmt
-2,312.24793
518,858.07168
2,024
Palm
2
ID_Yiu8Q1
-2,359.050719
525,449.935602
2,024
Palm
2
ID_5GeXcl
46,261.617077
527,550.135777
2,024
Rubber
3
ID_8F8ZPP
31,985.411601
518,519.126577
2,024
Rubber
3
ID_iUM0Ws
112,616.935196
558,214.573097
2,024
Rubber
3
ID_MVJYXa
122,436.167388
552,523.436356
2,024
Rubber
3
ID_RedVm0
-4,838.81588
518,859.45619
2,024
Palm
2
ID_9WxxHp
-4,891.897638
518,874.131694
2,024
Palm
2
ID_vp785H
2,017.229875
525,550.812235
2,024
Rubber
3
ID_SSupeH
103,927.518945
580,501.574174
2,024
Rubber
3
ID_bmsWvy
27,030.466071
506,858.919759
2,024
Rubber
3
ID_lIOupt
3,288.26858
527,621.873315
2,024
Rubber
3
ID_DRL8kW
570.94388
526,526.357073
2,024
Palm
2
ID_vSZHw5
30,772.549416
514,630.036331
2,024
Rubber
3
ID_k0v65v
-3,934.88691
518,981.237934
2,024
Palm
2
ID_WESYGf
-3,331.994715
518,815.583796
2,024
Palm
2
ID_0hFkvN
44,957.987214
527,627.961401
2,024
Rubber
3
ID_aOqgPL
-2,992.611651
518,719.564432
2,024
Palm
2
ID_abekMT
30,489.794156
515,008.522616
2,024
Rubber
3
ID_KOQOQA
26,145.849403
518,446.856772
2,024
Rubber
3
ID_2iGgzO
30,780.076358
517,213.724515
2,024
Rubber
3
ID_M2DJNc
-4,281.322039
519,421.531701
2,024
Rubber
3
ID_SZNrmO
-6,214.908881
519,589.762101
2,024
Rubber
3
ID_LxL7g8
-1,684.71574
521,932.007113
2,024
Rubber
3
ID_aZQJK3
-1,363.83247
518,604.750502
2,024
Rubber
3
ID_QbYj7g
3,618.166891
532,211.977669
2,024
Palm
2
ID_9CHKck
31,476.436183
509,723.231725
2,024
Rubber
3
ID_Bm3VTW
29,161.308001
517,583.156748
2,024
Rubber
3
ID_xMZz4v
29,678.289166
509,338.911685
2,024
Rubber
3
ID_bi25qY
108,464.677525
584,385.755706
2,024
Rubber
3
ID_T4HaP6
28,516.31452
518,757.45394
2,024
Rubber
3
ID_tKRoWo
28,659.806962
518,321.434943
2,024
Rubber
3
ID_wR1peh
30,542.359987
515,059.163409
2,024
Rubber
3
ID_wReGjO
27,761.543474
507,980.058684
2,024
Rubber
3
ID_nuIE1l
64,279.534522
515,919.010455
2,024
Rubber
3
ID_ZesUIb
-5,153.974599
518,925.435234
2,024
Palm
2
ID_BmajXs
5,239.726363
558,843.834178
2,024
Palm
2
ID_AsXdKU
3,156.962058
526,680.311093
2,024
Rubber
3
ID_bHjvEm
28,468.65688
518,960.389541
2,024
Rubber
3
ID_PIXQjl
123,266.913055
550,073.975013
2,024
Rubber
3
ID_cLC7ar
46,907.38224
546,906.047327
2,024
Rubber
3
ID_b2Rnyf
31,572.114108
514,128.974497
2,024
Rubber
3
ID_xk4W5q
30,267.471994
517,852.434125
2,024
Rubber
3
ID_FAw3Wt
121,660.400869
547,688.778974
2,024
Rubber
3
ID_wDpKRi
-3,375.12733
518,564.363339
2,024
Palm
2
ID_0Ov93I
42,808.776164
527,669.571202
2,024
Rubber
3
ID_kYPP3a
88,546.934159
596,130.240416
2,024
Cocoa
1
ID_yo17qr
-3,669.607903
518,776.358501
2,024
Palm
2
ID_Pg197t
26,988.106634
506,892.047828
2,024
Rubber
3
ID_axvANo
-1,462.065799
529,160.314606
2,024
Palm
2
ID_CUmFxc
29,579.809987
515,657.456381
2,024
Rubber
3
ID_yXtm8F
-358.736241
520,246.195102
2,024
Rubber
3
ID_ZBcTEb
-1,683.286844
522,287.071771
2,024
Rubber
3
ID_or6uBT
44,649.287003
527,320.682174
2,024
Rubber
3
ID_on02IG
44,173.360861
527,893.890376
2,024
Rubber
3
ID_LI5ZFx
-1,046.484002
522,821.094075
2,024
Palm
2
End of preview.