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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 21 new columns ({'lit_mean', 'lit_max', 'cf_cvg_median', 'cf_cvg_max', 'median_stdDev', 'cf_cvg_mean', 'lit_stdDev', 'cf_cvg_stdDev', 'median_mean', 'lit_median', 'median_median', 'average_max', 'maximum_stdDev', 'median_max', 'maximum_median', 'average_stdDev', 'average_mean', 'maximum_max', 'maximum_mean', 'row_id', 'average_median'})

This happened while the csv dataset builder was generating data using

hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data/rwi_viirs_features_full.csv (at revision 0e65fd6f5fd1d70101270f246d5f0cbb29466455), ['hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data@0e65fd6f5fd1d70101270f246d5f0cbb29466455/rwi_central_asia.csv', 'hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data@0e65fd6f5fd1d70101270f246d5f0cbb29466455/rwi_viirs_features_full.csv']

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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              average_max: double
              average_mean: double
              average_median: double
              average_stdDev: double
              cf_cvg_max: int64
              cf_cvg_mean: double
              cf_cvg_median: double
              cf_cvg_stdDev: double
              country: string
              country_iso3: string
              error: double
              lat: double
              lit_max: int64
              lit_mean: double
              lit_median: int64
              lit_stdDev: double
              lon: double
              maximum_max: double
              maximum_mean: double
              maximum_median: double
              maximum_stdDev: double
              median_max: double
              median_mean: double
              median_median: double
              median_stdDev: double
              row_id: int64
              rwi: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3512
              to
              {'country': Value('string'), 'country_iso3': Value('string'), 'lat': Value('float64'), 'lon': Value('float64'), 'rwi': Value('float64'), 'error': 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 1361, 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 940, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, 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 21 new columns ({'lit_mean', 'lit_max', 'cf_cvg_median', 'cf_cvg_max', 'median_stdDev', 'cf_cvg_mean', 'lit_stdDev', 'cf_cvg_stdDev', 'median_mean', 'lit_median', 'median_median', 'average_max', 'maximum_stdDev', 'median_max', 'maximum_median', 'average_stdDev', 'average_mean', 'maximum_max', 'maximum_mean', 'row_id', 'average_median'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data/rwi_viirs_features_full.csv (at revision 0e65fd6f5fd1d70101270f246d5f0cbb29466455), ['hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data@0e65fd6f5fd1d70101270f246d5f0cbb29466455/rwi_central_asia.csv', 'hf://datasets/Erg0-SuM/ind-proj-nn-minor-light-data@0e65fd6f5fd1d70101270f246d5f0cbb29466455/rwi_viirs_features_full.csv']
              
              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)

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country
string
country_iso3
string
lat
float64
lon
float64
rwi
float64
error
float64
Kazakhstan
KAZ
49.972422
56.348877
-0.58
0.224
Kazakhstan
KAZ
53.034607
70.213623
0.147
0.274
Kazakhstan
KAZ
43.317184
77.025147
0.024
0.39
Kazakhstan
KAZ
47.85003
59.644775
-0.393
0.313
Kazakhstan
KAZ
45.821143
62.061768
0.117
0.403
Kazakhstan
KAZ
51.282534
70.894775
-0.319
0.252
Kazakhstan
KAZ
52.476089
72.037354
-0.105
0.317
Kazakhstan
KAZ
50.268276
66.873779
0.129
0.381
Kazakhstan
KAZ
52.207606
77.025147
0.072
0.33
Kazakhstan
KAZ
48.085418
70.982666
-0.345
0.27
Kazakhstan
KAZ
48.026672
70.806885
-0.436
0.3
Kazakhstan
KAZ
51.624837
73.157959
0.856
0.329
Kazakhstan
KAZ
43.540584
77.772217
-0.194
0.341
Kazakhstan
KAZ
43.349149
52.89917
0.752
0.436
Kazakhstan
KAZ
49.81672
82.650147
-0.493
0.322
Kazakhstan
KAZ
48.407326
75.377197
-0.578
0.265
Kazakhstan
KAZ
48.929717
47.032471
0.117
0.276
Kazakhstan
KAZ
49.030665
80.057373
-0.093
0.371
Kazakhstan
KAZ
44.127028
66.741943
-0.445
0.379
Kazakhstan
KAZ
51.91039
66.2146
0.349
0.376
Kazakhstan
KAZ
51.611194
69.862061
-0.091
0.296
Kazakhstan
KAZ
50.645977
56.678467
0.282
0.296
Kazakhstan
KAZ
43.460893
77.025147
0.63
0.398
Kazakhstan
KAZ
43.221189
76.278076
-0.106
0.387
Kazakhstan
KAZ
48.683707
74.190674
-0.223
0.263
Kazakhstan
KAZ
53.324311
69.378662
0.276
0.372
Kazakhstan
KAZ
43.333169
77.003174
0.948
0.427
Kazakhstan
KAZ
54.844989
69.11499
0.637
0.364
Kazakhstan
KAZ
41.697525
69.532471
-0.245
0.292
Kazakhstan
KAZ
40.971603
68.36792
-0.523
0.285
Kazakhstan
KAZ
43.55651
75.289307
-0.634
0.347
Kazakhstan
KAZ
49.94415
82.650147
0.63
0.382
Kazakhstan
KAZ
52.609719
69.312744
-0.643
0.249
Kazakhstan
KAZ
49.303635
84.737549
-0.491
0.253
Kazakhstan
KAZ
45.081278
64.105225
-0.492
0.303
Kazakhstan
KAZ
40.938414
68.236084
-0.691
0.284
Kazakhstan
KAZ
45.205263
62.808838
-0.546
0.269
Kazakhstan
KAZ
45.019185
78.013916
0.189
0.405
Kazakhstan
KAZ
51.556582
71.883545
-0.423
0.245
Kazakhstan
KAZ
40.988191
68.345947
-0.241
0.281
Kazakhstan
KAZ
43.285203
73.487549
-0.447
0.396
Kazakhstan
KAZ
49.503809
83.682861
-0.203
0.248
Kazakhstan
KAZ
51.570241
52.459717
-0.306
0.227
Kazakhstan
KAZ
45.821143
81.705322
-0.736
0.273
Kazakhstan
KAZ
54.194583
68.016357
-0.515
0.265
Kazakhstan
KAZ
49.930008
73.201904
-0.342
0.348
Kazakhstan
KAZ
52.221069
64.412842
-0.207
0.201
Kazakhstan
KAZ
51.103521
66.346436
-0.328
0.248
Kazakhstan
KAZ
43.397065
73.861084
-0.549
0.285
Kazakhstan
KAZ
51.460852
75.81665
-0.096
0.414
Kazakhstan
KAZ
51.213765
71.114502
0.821
0.379
Kazakhstan
KAZ
52.942017
70.213623
0.614
0.404
Kazakhstan
KAZ
52.609719
62.611084
-0.483
0.206
Kazakhstan
KAZ
44.127028
52.130127
-0.115
0.409
Kazakhstan
KAZ
46.551305
53.272705
-0.002
0.386
Kazakhstan
KAZ
51.089722
71.224365
0.473
0.363
Kazakhstan
KAZ
52.51622
76.607666
-0.295
0.217
Kazakhstan
KAZ
43.333169
77.200928
0.337
0.409
Kazakhstan
KAZ
43.317184
76.519775
1.065
0.325
Kazakhstan
KAZ
50.951506
79.398193
0.712
0.344
Kazakhstan
KAZ
49.160154
47.493897
-0.249
0.263
Kazakhstan
KAZ
42.916206
70.037842
0.278
0.35
Kazakhstan
KAZ
52.476089
77.178955
-0.31
0.25
Kazakhstan
KAZ
49.887556
73.00415
0.039
0.39
Kazakhstan
KAZ
50.450509
58.018799
-0.369
0.234
Kazakhstan
KAZ
51.978113
75.267334
-0.195
0.244
Kazakhstan
KAZ
49.930008
81.881104
-0.188
0.37
Kazakhstan
KAZ
43.428987
74.608154
-0.364
0.273
Kazakhstan
KAZ
50.951506
73.861084
-0.252
0.262
Kazakhstan
KAZ
41.335576
68.69751
-0.513
0.363
Kazakhstan
KAZ
53.232345
62.677002
0.151
0.235
Kazakhstan
KAZ
48.944151
53.55835
0.223
0.353
Kazakhstan
KAZ
54.476421
68.69751
-0.314
0.256
Kazakhstan
KAZ
50.043029
53.514404
0.393
0.272
Kazakhstan
KAZ
43.09296
70.894775
0.184
0.374
Kazakhstan
KAZ
42.81958
69.730225
-0.732
0.277
Kazakhstan
KAZ
47.731934
71.5979
-0.36
0.268
Kazakhstan
KAZ
53.625095
71.8396
-0.035
0.304
Kazakhstan
KAZ
44.925918
78.54126
-0.348
0.281
Kazakhstan
KAZ
43.157108
76.607666
0.636
0.393
Kazakhstan
KAZ
50.53438
81.397705
-0.077
0.273
Kazakhstan
KAZ
50.422518
80.233154
1.539
0.379
Kazakhstan
KAZ
54.091617
65.401611
-0.852
0.202
Kazakhstan
KAZ
42.851806
71.422119
0.863
0.438
Kazakhstan
KAZ
49.059469
51.954346
-0.179
0.341
Kazakhstan
KAZ
49.532339
75.882568
-0.151
0.28
Kazakhstan
KAZ
51.199999
51.383057
1.792
0.338
Kazakhstan
KAZ
49.617828
63.48999
0.118
0.344
Kazakhstan
KAZ
51.117316
49.998779
-0.687
0.225
Kazakhstan
KAZ
43.109004
70.938721
-0.573
0.281
Kazakhstan
KAZ
43.508721
77.684326
0.641
0.421
Kazakhstan
KAZ
50.254229
81.617432
-0.471
0.29
Kazakhstan
KAZ
53.271783
66.741943
-0.077
0.264
Kazakhstan
KAZ
50.043029
80.69458
-0.177
0.361
Kazakhstan
KAZ
48.973005
68.7854
-0.087
0.403
Kazakhstan
KAZ
47.717153
84.210205
0.359
0.398
Kazakhstan
KAZ
42.382894
69.796143
-0.258
0.35
Kazakhstan
KAZ
51.39235
53.492432
0.076
0.222
Kazakhstan
KAZ
46.626806
62.720947
-0.326
0.272
Kazakhstan
KAZ
49.475263
83.814697
-0.322
0.256
End of preview.

This dataset contains data to research the RWI and VIIRS indicators, e. g. for an economic research. Done for Central Asian countries ONLY. Full datasets are availabe here: RWI - https://dataforgood.facebook.com/dfg/tools/relative-wealth-index?utm_source=chatgpt.com VIIRS - https://eogdata.mines.edu/products/vnl/?utm_source=chatgpt.com

About the files specifically:

  1. processed/rwi_central_asia.csv RWI points for Central Asia. Contains coordinates, country code, row_id, and target variable rwi.

  2. processed/rwi_viirs_features_full.csv Tabular VIIRS features for each RWI point. Used for linear regression, ridge regression, and random forest models.

  3. processed/cnn_dataset_p48_viirs2022.npz Patch dataset for image-based models. Contains 5-channel VIIRS patches of size 48 x 48, target values, country codes, and row ids. Used by CNN and ViT notebooks.

  4. raw/viirs_ca_2022_5bands.tif Cropped 5-band VIIRS raster for Central Asia. Used for maps and visualizations.

  5. README.md Short description of the dataset structure and file purpose.

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