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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 3 new columns ({'Product_Store_Sales_Total', 'Store_Id', 'Product_Id'})

This happened while the csv dataset builder was generating data using

hf://datasets/MLbySush/super_kart/superKart_1.csv (at revision cac74fb88c800081965360e2348a8eb967d13e1e), [/tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/Xtest.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/Xtrain.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/superKart_1.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/superKart_1.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/ytest.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/ytrain.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/ytrain.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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Product_Id: string
              Product_Weight: double
              Product_Sugar_Content: string
              Product_Allocated_Area: double
              Product_Type: string
              Product_MRP: double
              Store_Id: string
              Store_Establishment_Year: int64
              Store_Size: string
              Store_Location_City_Type: string
              Store_Type: string
              Product_Store_Sales_Total: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1845
              to
              {'Product_Weight': Value('float64'), 'Product_Allocated_Area': Value('float64'), 'Product_MRP': Value('float64'), 'Store_Establishment_Year': Value('int64'), 'Product_Sugar_Content': Value('string'), 'Product_Type': Value('string'), 'Store_Size': Value('string'), 'Store_Location_City_Type': Value('string'), 'Store_Type': Value('string')}
              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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 3 new columns ({'Product_Store_Sales_Total', 'Store_Id', 'Product_Id'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MLbySush/super_kart/superKart_1.csv (at revision cac74fb88c800081965360e2348a8eb967d13e1e), [/tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/Xtest.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/Xtrain.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/superKart_1.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/superKart_1.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/ytest.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/74610029082663-config-parquet-and-info-MLbySush-super_kart-4883be11/hub/datasets--MLbySush--super_kart/snapshots/cac74fb88c800081965360e2348a8eb967d13e1e/ytrain.csv (origin=hf://datasets/MLbySush/super_kart@cac74fb88c800081965360e2348a8eb967d13e1e/ytrain.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)

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.

Product_Weight
float64
Product_Allocated_Area
float64
Product_MRP
float64
Store_Establishment_Year
int64
Product_Sugar_Content
string
Product_Type
string
Store_Size
string
Store_Location_City_Type
string
Store_Type
string
12.53
0.066
145.62
2,009
Regular
Snack Foods
Medium
Tier 2
Supermarket Type2
13.29
0.086
135.99
2,009
Low Sugar
Canned
Medium
Tier 2
Supermarket Type2
9.99
0.09
125.79
1,987
Regular
Fruits and Vegetables
High
Tier 2
Supermarket Type1
10.72
0.049
92.94
1,998
No Sugar
Health and Hygiene
Small
Tier 3
Food Mart
15.6
0.121
176.07
1,987
Low Sugar
Soft Drinks
High
Tier 2
Supermarket Type1
11.87
0.1
130.28
2,009
Low Sugar
Baking Goods
Medium
Tier 2
Supermarket Type2
11.13
0.052
135.49
2,009
Low Sugar
Dairy
Medium
Tier 2
Supermarket Type2
14.02
0.09
118.48
2,009
Low Sugar
Soft Drinks
Medium
Tier 2
Supermarket Type2
11.42
0.018
147.95
2,009
No Sugar
Household
Medium
Tier 2
Supermarket Type2
9.55
0.043
88.28
1,998
Low Sugar
Soft Drinks
Small
Tier 3
Food Mart
14.44
0.097
218.42
1,999
No Sugar
Household
Medium
Tier 1
Departmental Store
10.95
0.073
145.75
2,009
Low Sugar
Starchy Foods
Medium
Tier 2
Supermarket Type2
10.62
0.107
132.73
2,009
Low Sugar
Snack Foods
Medium
Tier 2
Supermarket Type2
9.45
0.035
129.31
1,987
No Sugar
Household
High
Tier 2
Supermarket Type1
12.76
0.16
160.7
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
12.94
0.027
120.3
2,009
Low Sugar
Soft Drinks
Medium
Tier 2
Supermarket Type2
8.97
0.02
118.77
1,998
Low Sugar
Snack Foods
Small
Tier 3
Food Mart
11.56
0.086
141.52
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
17.13
0.147
191.14
1,999
Low Sugar
Fruits and Vegetables
Medium
Tier 1
Departmental Store
13.2
0.133
119.63
2,009
Low Sugar
Hard Drinks
Medium
Tier 2
Supermarket Type2
14.44
0.019
141.72
2,009
Regular
Frozen Foods
Medium
Tier 2
Supermarket Type2
11.17
0.039
121.43
2,009
Low Sugar
Hard Drinks
Medium
Tier 2
Supermarket Type2
8.49
0.199
138.99
1,987
Low Sugar
Baking Goods
High
Tier 2
Supermarket Type1
12.92
0.013
117.1
2,009
Regular
Snack Foods
Medium
Tier 2
Supermarket Type2
19.22
0.033
212.36
1,999
Low Sugar
Snack Foods
Medium
Tier 1
Departmental Store
12.67
0.042
159.77
2,009
Low Sugar
Breads
Medium
Tier 2
Supermarket Type2
15.65
0.093
184.74
1,987
Regular
Frozen Foods
High
Tier 2
Supermarket Type1
9.72
0.162
113.3
1,998
Low Sugar
Meat
Small
Tier 3
Food Mart
14.51
0.067
182.65
1,987
Low Sugar
Frozen Foods
High
Tier 2
Supermarket Type1
12.8
0.016
194.7
1,999
Low Sugar
Soft Drinks
Medium
Tier 1
Departmental Store
16.8
0.017
160.69
1,987
Low Sugar
Seafood
High
Tier 2
Supermarket Type1
15.05
0.1
229.89
1,999
Low Sugar
Canned
Medium
Tier 1
Departmental Store
11.81
0.07
128.82
2,009
Regular
Frozen Foods
Medium
Tier 2
Supermarket Type2
13.22
0.098
213.71
1,987
Regular
Canned
High
Tier 2
Supermarket Type1
13.06
0.098
135.29
2,009
Regular
Dairy
Medium
Tier 2
Supermarket Type2
10.17
0.031
156.69
2,009
No Sugar
Household
Medium
Tier 2
Supermarket Type2
10.2
0.016
116.99
1,998
No Sugar
Health and Hygiene
Small
Tier 3
Food Mart
15.45
0.012
191.07
1,999
Regular
Frozen Foods
Medium
Tier 1
Departmental Store
10.44
0.1
56.01
1,998
No Sugar
Household
Small
Tier 3
Food Mart
13.73
0.07
142.45
2,009
Regular
Breakfast
Medium
Tier 2
Supermarket Type2
15.47
0.029
175.2
1,987
Low Sugar
Soft Drinks
High
Tier 2
Supermarket Type1
12.16
0.03
158.08
2,009
Regular
Soft Drinks
Medium
Tier 2
Supermarket Type2
12.02
0.161
106.83
1,987
Low Sugar
Frozen Foods
High
Tier 2
Supermarket Type1
12.81
0.031
168.24
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
13.55
0.029
147.92
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
12.15
0.047
140.69
2,009
Regular
Frozen Foods
Medium
Tier 2
Supermarket Type2
15.8
0.05
177.27
1,987
Low Sugar
Snack Foods
High
Tier 2
Supermarket Type1
11.93
0.076
143.45
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
11.2
0.014
181.94
2,009
Regular
Hard Drinks
Medium
Tier 2
Supermarket Type2
16.3
0.071
154.75
1,999
Low Sugar
Dairy
Medium
Tier 1
Departmental Store
12.23
0.058
164.15
2,009
Low Sugar
Seafood
Medium
Tier 2
Supermarket Type2
10.41
0.021
151.97
2,009
Low Sugar
Canned
Medium
Tier 2
Supermarket Type2
8.05
0.04
67.14
1,998
No Sugar
Health and Hygiene
Small
Tier 3
Food Mart
10.46
0.047
97.59
1,998
No Sugar
Health and Hygiene
Small
Tier 3
Food Mart
14.57
0.06
161.93
1,987
Low Sugar
Snack Foods
High
Tier 2
Supermarket Type1
10.57
0.042
125.25
2,009
Low Sugar
Meat
Medium
Tier 2
Supermarket Type2
9.66
0.062
178.03
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
13.53
0.023
196.65
1,987
No Sugar
Household
High
Tier 2
Supermarket Type1
7.59
0.191
176.98
2,009
Regular
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
19.12
0.056
193.68
1,999
Regular
Meat
Medium
Tier 1
Departmental Store
17.5
0.178
192.22
1,999
Regular
Meat
Medium
Tier 1
Departmental Store
12.47
0.064
156.27
2,009
Regular
Meat
Medium
Tier 2
Supermarket Type2
15.39
0.053
137.79
2,009
Low Sugar
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
14.17
0.064
142.1
2,009
Regular
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
11.94
0.019
136.14
2,009
Low Sugar
Dairy
Medium
Tier 2
Supermarket Type2
9.68
0.16
137.65
2,009
Low Sugar
Dairy
Medium
Tier 2
Supermarket Type2
15.82
0.031
162.76
1,999
Low Sugar
Fruits and Vegetables
Medium
Tier 1
Departmental Store
11.75
0.031
61.57
1,998
Regular
Snack Foods
Small
Tier 3
Food Mart
13.11
0.106
160.46
2,009
Low Sugar
Breakfast
Medium
Tier 2
Supermarket Type2
13.08
0.019
97.93
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
13.39
0.04
196.18
1,987
Regular
Fruits and Vegetables
High
Tier 2
Supermarket Type1
14.26
0.026
149.2
2,009
Regular
Canned
Medium
Tier 2
Supermarket Type2
14.8
0.055
130.36
2,009
Low Sugar
Snack Foods
Medium
Tier 2
Supermarket Type2
12.69
0.076
155.65
2,009
Regular
Dairy
Medium
Tier 2
Supermarket Type2
11.44
0.057
181.96
2,009
No Sugar
Household
Medium
Tier 2
Supermarket Type2
14.83
0.081
114.04
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
13.42
0.026
107.01
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
11.56
0.098
122.14
2,009
No Sugar
Household
Medium
Tier 2
Supermarket Type2
13.05
0.071
133.57
2,009
Regular
Fruits and Vegetables
Medium
Tier 2
Supermarket Type2
12.96
0.076
149.13
2,009
Low Sugar
Snack Foods
Medium
Tier 2
Supermarket Type2
14.66
0.14
153.72
1,987
Low Sugar
Canned
High
Tier 2
Supermarket Type1
13.51
0.212
143.48
2,009
Low Sugar
Snack Foods
Medium
Tier 2
Supermarket Type2
12.77
0.046
165.71
2,009
Low Sugar
Starchy Foods
Medium
Tier 2
Supermarket Type2
11.69
0.076
132.88
2,009
Regular
Canned
Medium
Tier 2
Supermarket Type2
12.73
0.028
166.77
2,009
Low Sugar
Meat
Medium
Tier 2
Supermarket Type2
12.25
0.031
102.71
1,987
Regular
Meat
High
Tier 2
Supermarket Type1
13.47
0.096
145.93
2,009
Low Sugar
Baking Goods
Medium
Tier 2
Supermarket Type2
12.5
0.081
135.26
2,009
Regular
Canned
Medium
Tier 2
Supermarket Type2
12.97
0.036
157.12
2,009
Regular
Snack Foods
Medium
Tier 2
Supermarket Type2
10.46
0.077
107.28
1,998
Low Sugar
Dairy
Small
Tier 3
Food Mart
13.91
0.098
186.73
1,987
Low Sugar
Baking Goods
High
Tier 2
Supermarket Type1
11.3
0.022
133.51
2,009
Low Sugar
Dairy
Medium
Tier 2
Supermarket Type2
12.11
0.027
106.65
2,009
Regular
Hard Drinks
Medium
Tier 2
Supermarket Type2
14.25
0.009
194.45
1,987
No Sugar
Household
High
Tier 2
Supermarket Type1
14.28
0.121
152.84
2,009
Low Sugar
Frozen Foods
Medium
Tier 2
Supermarket Type2
8.43
0.124
128.61
1,998
Low Sugar
Snack Foods
Small
Tier 3
Food Mart
10.84
0.103
162.99
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
14.04
0.167
145.76
2,009
No Sugar
Health and Hygiene
Medium
Tier 2
Supermarket Type2
10.77
0.016
136.99
2,009
Low Sugar
Canned
Medium
Tier 2
Supermarket Type2
9.16
0.047
123.95
1,998
Low Sugar
Dairy
Small
Tier 3
Food Mart
End of preview.