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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 ({'stress_level', 'noise_level', 'living_conditions', 'peer_pressure', 'self_esteem', 'future_career_concerns', 'extracurricular_activities', 'sleep_quality', 'depression', 'teacher_student_relationship', 'study_load', 'safety', 'basic_needs', 'bullying', 'breathing_problem', 'headache', 'blood_pressure', 'social_support', 'academic_performance', 'mental_health_history', 'anxiety_level'}) and 11 missing columns ({'Unnamed: 0', 'age', 'weight(kg)', 'BMI', 'BMR', 'calories_to_maintain_weight', 'activity_level', 'gender', 'height(m)', 'BMI_tags', 'Label'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Ahmed062646/NLP_Medora_Datasets/StressLevelDataset.csv (at revision 9b4a3b2714fc2b14b19ede2ddaea1445a551f20d), [/tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/Dataset.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/Dataset.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/StressLevelDataset.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/StressLevelDataset.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/family_history_rare_disease_cleaned.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/family_history_rare_disease_cleaned.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/heart.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/heart.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 1800, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              anxiety_level: int64
              self_esteem: int64
              mental_health_history: int64
              depression: int64
              headache: int64
              blood_pressure: int64
              sleep_quality: int64
              breathing_problem: int64
              noise_level: int64
              living_conditions: int64
              safety: int64
              basic_needs: int64
              academic_performance: int64
              study_load: int64
              teacher_student_relationship: int64
              future_career_concerns: int64
              social_support: int64
              peer_pressure: int64
              extracurricular_activities: int64
              bullying: int64
              stress_level: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2909
              to
              {'Unnamed: 0': Value('int64'), 'age': Value('int64'), 'weight(kg)': Value('float64'), 'height(m)': Value('float64'), 'gender': Value('string'), 'BMI': Value('float64'), 'BMR': Value('float64'), 'activity_level': Value('float64'), 'calories_to_maintain_weight': Value('float64'), 'BMI_tags': Value('int64'), 'Label': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 ({'stress_level', 'noise_level', 'living_conditions', 'peer_pressure', 'self_esteem', 'future_career_concerns', 'extracurricular_activities', 'sleep_quality', 'depression', 'teacher_student_relationship', 'study_load', 'safety', 'basic_needs', 'bullying', 'breathing_problem', 'headache', 'blood_pressure', 'social_support', 'academic_performance', 'mental_health_history', 'anxiety_level'}) and 11 missing columns ({'Unnamed: 0', 'age', 'weight(kg)', 'BMI', 'BMR', 'calories_to_maintain_weight', 'activity_level', 'gender', 'height(m)', 'BMI_tags', 'Label'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Ahmed062646/NLP_Medora_Datasets/StressLevelDataset.csv (at revision 9b4a3b2714fc2b14b19ede2ddaea1445a551f20d), [/tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/Dataset.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/Dataset.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/StressLevelDataset.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/StressLevelDataset.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/family_history_rare_disease_cleaned.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/family_history_rare_disease_cleaned.csv), /tmp/hf-datasets-cache/medium/datasets/40443973805102-config-parquet-and-info-Ahmed062646-NLP_Medora_Da-4e78ca29/hub/datasets--Ahmed062646--NLP_Medora_Datasets/snapshots/9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/heart.csv (origin=hf://datasets/Ahmed062646/NLP_Medora_Datasets@9b4a3b2714fc2b14b19ede2ddaea1445a551f20d/heart.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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Unnamed: 0
int64
age
int64
weight(kg)
float64
height(m)
float64
gender
string
BMI
float64
BMR
float64
activity_level
float64
calories_to_maintain_weight
float64
BMI_tags
int64
Label
int64
1
2
16.097862
0.932025
F
18.531612
958.584
1.2
1,150.3008
8
13
2
4
14.619374
0.916687
F
17.397496
932.383
1.7
1,585.0511
7
1
4
4
17.899918
0.997288
F
17.997414
977.578
1.9
1,857.3982
7
4
6
3
13.53288
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12.936609
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1
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15.789179
0.912256
F
18.972577
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1.3
1,231.828
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13
19
3
13.300541
1.068686
F
11.645791
950.262
1.7
1,615.4454
7
1
21
4
15.504307
0.900704
F
19.111207
938.161
1.3
1,219.6093
8
13
22
4
17.508939
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M
18.635063
763.329
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992.3277
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12
23
5
15.328799
0.919602
F
18.126284
934.989
1.7
1,589.4813
7
1
24
3
17.769993
1.03473
F
16.597151
987.396
1.9
1,876.0524
7
4
27
4
13.547525
0.869577
F
17.916125
914.084
1.9
1,736.7596
7
2
28
5
12.227311
0.976228
F
12.830042
914.841
1.7
1,555.2297
7
1
29
2
14.133506
1.026731
F
13.407162
955.826
1.9
1,816.0694
7
3
35
4
15.464262
0.881803
M
19.887787
691.562
1.7
1,175.6554
8
13
39
3
13.736123
0.92188
F
16.162748
929.486
1.7
1,580.1262
7
1
46
3
16.160489
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M
14.587056
793.275
1.9
1,507.2225
7
0
47
5
14.009112
1.052677
F
12.642132
944.943
1.7
1,606.4031
7
1
49
3
16.894458
0.920241
F
19.949897
959.528
1.3
1,247.3864
8
13
57
2
12.73699
1.004816
F
12.615176
938.694
1.7
1,595.7798
7
1
58
5
17.376826
1.016246
F
16.825686
971.079
1.7
1,650.8343
7
2
64
3
16.36705
0.893026
F
20.523045
949.838
1.5
1,424.757
8
14
67
4
17.102881
0.961707
F
18.49201
963.878
1.9
1,831.3682
7
3
68
2
17.197292
0.872039
M
22.614577
724.022
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8
14
70
4
14.728941
0.876053
M
19.191598
678.613
1.7
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8
13
79
4
17.042242
1.076201
F
14.714313
982.76
1.9
1,867.244
7
4
84
4
16.954144
0.979565
F
17.668877
965.486
1.9
1,834.4234
7
3
85
4
12.154358
0.941159
F
13.721636
912.879
1.9
1,734.4701
7
2
86
3
17.700672
1.051633
F
16.005206
989.604
1.7
1,682.3268
7
2
91
4
17.275365
1.028168
F
16.341778
976.832
1.7
1,660.6144
7
2
92
2
14.32329
0.86232
M
19.262185
679.789
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1,019.6835
8
12
94
4
14.423498
0.915
F
17.227739
930.216
1.9
1,767.4104
7
3
103
2
17.544372
0.94208
F
19.767981
974.18
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1,169.016
8
13
106
5
12.373341
0.960296
F
13.417648
913.534
1.9
1,735.7146
7
2
111
3
15.985863
0.89995
M
19.737816
714.581
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13
114
4
15.277207
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F
19.872125
931.917
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13
116
4
12.812082
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F
12.932597
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3
123
2
17.36321
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F
16.410638
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1,480.7265
7
0
125
3
17.441773
0.910405
F
21.043656
963.11
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1,637.287
8
15
126
2
12.023798
1.051509
F
10.874661
939.785
1.9
1,785.5915
7
3
136
2
14.729477
0.904783
F
17.992803
940.816
1.9
1,787.5504
7
3
148
3
12.396426
0.876894
F
16.121396
908.978
1.7
1,545.2626
7
0
149
4
16.599537
0.99082
F
16.908551
963.995
1.7
1,638.7915
7
1
150
5
16.812841
0.897879
M
20.854788
711.275
1.9
1,351.4225
8
14
151
3
16.16656
1.066244
M
14.220153
800.204
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7
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16.735876
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16.563006
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0
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12.665824
0.946988
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14.123568
923.48
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1,754.612
7
3
165
3
15.380009
1.030569
F
14.481136
963.745
1.9
1,831.1155
7
3
169
4
12.804444
0.902397
F
15.724072
912.53
1.9
1,733.807
7
2
171
3
16.902872
0.92734
F
19.655449
960.815
1.9
1,825.5485
8
16
172
5
15.479251
0.897214
F
19.229034
932.627
1.7
1,585.4659
8
15
175
2
16.626627
0.857937
F
22.588826
951.065
1.3
1,236.3845
8
13
179
5
17.256058
0.960194
F
18.716438
960.391
1.5
1,440.5865
8
14
182
5
17.339377
0.945823
F
19.382664
958.748
1.5
1,438.122
8
14
185
3
16.374593
0.926743
F
19.065654
955.642
1.7
1,624.5914
8
15
188
3
13.351605
0.902129
F
16.405755
922.437
1.9
1,752.6303
7
3
191
5
16.620702
1.000329
F
16.609765
961.115
1.9
1,826.1185
7
3
197
4
17.431571
1.033942
M
16.305886
794.583
1.9
1,509.7077
7
0
199
4
15.314937
0.884362
M
19.581915
690.796
1.7
1,174.3532
8
13
202
3
12.137511
1.059646
F
10.809553
937.56
1.9
1,781.364
7
3
203
4
13.966497
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F
14.682379
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1.7
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7
1
213
4
12.093668
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F
15.022648
904.829
1.9
1,719.1751
7
2
216
4
14.677911
0.860156
F
19.83854
923.334
1.9
1,754.3346
8
16
223
4
16.971428
1.045129
M
15.537412
793.873
1.9
1,508.3587
7
0
230
4
12.272157
1.062752
F
10.865678
934.681
1.9
1,775.8939
7
3
232
3
15.347959
0.862133
M
20.649143
686.934
1.7
1,167.7878
8
13
235
3
13.062553
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16.099598
919.429
1.9
1,746.9151
7
2
238
2
16.692406
0.879009
M
21.603926
720.59
1.7
1,225.003
8
13
240
4
15.523085
1.060457
F
13.803595
965.499
1.7
1,641.3483
7
1
241
3
16.472962
1.036011
M
15.3477
789.285
1.9
1,499.6415
7
0
245
4
13.86684
1.078327
M
11.925491
767.939
1.9
1,459.0841
7
0
246
5
12.880734
0.887167
F
16.365506
905.974
1.9
1,721.3506
7
2
250
3
13.920904
0.90251
F
17.09083
927.967
1.9
1,763.1373
7
3
251
3
15.37128
1.03141
F
14.44931
963.804
1.7
1,638.4668
7
1
252
3
17.369846
0.86099
F
23.43148
954.019
1.3
1,240.2247
8
13
253
3
16.206797
0.999965
F
16.207931
966.479
1.9
1,836.3101
7
3
255
3
14.21855
1.021274
F
13.632349
951.015
1.9
1,806.9285
7
3
263
3
13.040275
0.873605
F
17.086633
914.599
1.7
1,554.8183
7
1
264
2
16.701685
0.929452
F
19.333299
963.943
1.5
1,445.9145
8
14
265
4
17.590412
1.033655
M
16.46361
796.616
1.9
1,513.5704
7
0
266
3
15.026153
0.867035
F
19.988219
932.547
1.3
1,212.3111
8
13
267
4
15.120325
0.900727
F
18.636963
934.479
1.5
1,401.7185
8
14
271
5
12.877279
0.985651
F
13.254941
922.683
1.7
1,568.5611
7
1
275
4
15.801071
0.888982
F
19.994058
939.017
1.7
1,596.3289
8
15
286
3
15.615096
1.067485
F
13.703161
972.277
1.9
1,847.3263
7
3
288
3
14.630588
0.949596
F
16.224972
942.785
1.9
1,791.2915
7
3
293
3
15.348171
1.050226
F
13.915262
966.781
1.5
1,450.1715
7
0
296
2
17.575396
0.953759
M
19.320924
770.062
1.5
1,155.093
8
13
297
4
12.380182
0.877143
F
16.091131
904.164
1.9
1,717.9116
7
2
298
4
17.627742
0.887496
F
22.380172
956.301
1.9
1,816.9719
8
16
299
5
14.766357
1.048003
F
13.444612
951.418
1.9
1,807.6942
7
3
300
3
17.508295
0.977599
F
18.319858
975.172
1.5
1,462.758
7
0
302
5
15.850149
0.90277
F
19.448192
937.132
1.3
1,218.2716
8
13
313
2
14.476835
0.863774
M
19.403219
682.619
1.5
1,023.9285
8
12
319
3
15.790098
0.907607
F
19.168537
946.778
1.7
1,609.5226
8
15
321
4
15.15188
1.036915
F
14.092256
957.934
1.7
1,628.4878
7
1
323
5
12.214241
0.965385
F
13.105862
912.872
1.7
1,551.8824
7
1
329
3
16.17711
1.037974
F
15.0151
972.656
1.5
1,458.984
7
0
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