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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 8 new columns ({'order_status', 'order_ts', 'payment_method', 'customer_id', 'total_amount', 'state', 'order_date', 'city'}) and 5 missing columns ({'quantity', 'unit_price', 'net_amount', 'product_id', 'discount'}).

This happened while the csv dataset builder was generating data using

hf://datasets/aparajita/customerserve-data/orders.csv (at revision a3bd4ce1389b46b60dff5945ef3b0e085915cfbd), [/tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/order_items.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/order_items.csv), /tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/orders.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/orders.csv), /tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/products.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/products.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
              order_id: string
              customer_id: int64
              order_date: string
              order_ts: string
              city: string
              state: string
              payment_method: string
              order_status: string
              total_amount: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1329
              to
              {'order_id': Value('string'), 'product_id': Value('int64'), 'quantity': Value('int64'), 'unit_price': Value('float64'), 'discount': Value('float64'), 'net_amount': 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 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 8 new columns ({'order_status', 'order_ts', 'payment_method', 'customer_id', 'total_amount', 'state', 'order_date', 'city'}) and 5 missing columns ({'quantity', 'unit_price', 'net_amount', 'product_id', 'discount'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/aparajita/customerserve-data/orders.csv (at revision a3bd4ce1389b46b60dff5945ef3b0e085915cfbd), [/tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/order_items.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/order_items.csv), /tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/orders.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/orders.csv), /tmp/hf-datasets-cache/medium/datasets/83817775084254-config-parquet-and-info-aparajita-customerserve-d-1491093b/hub/datasets--aparajita--customerserve-data/snapshots/a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/products.csv (origin=hf://datasets/aparajita/customerserve-data@a3bd4ce1389b46b60dff5945ef3b0e085915cfbd/products.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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order_id
string
product_id
int64
quantity
int64
unit_price
float64
discount
float64
net_amount
float64
Byk-0
6,514
3
3,614.06
275.99
10,566.19
Byk-0
2,222
4
4,539.08
1,090.19
17,066.13
Byk-0
40,137
4
85.64
12.91
329.65
Byk-1
48,440
3
1,384.96
317.69
3,837.19
Byk-1
52,122
1
3,002
108.78
2,893.22
Byk-1
40,858
3
2,395.82
null
7,187.46
Byk-2
45,963
2
3,122.09
72.88
6,171.3
Byk-2
115,887
5
357.72
96.35
1,692.25
Byk-2
71,959
4
4,822.6
1,251.47
18,038.93
Byk-3
57,701
5
4,472.58
null
22,362.9
Byk-3
22,980
5
663.12
null
3,315.6
Byk-3
138,606
1
3,690.75
367.85
3,322.9
Byk-4
106,010
1
1,232.65
94.58
1,138.07
Byk-4
73,277
4
3,336.27
63.27
13,281.81
Byk-4
93,248
3
1,769.04
319.56
4,987.56
Byk-5
124,731
3
1,187.38
114.27
3,447.87
Byk-5
56,470
5
3,815.89
1,639
17,440.45
Byk-5
35,123
1
3,610.77
258.05
3,352.72
Byk-6
75,280
2
1,359.57
92.21
2,626.93
Byk-6
31,809
1
1,014.47
100.49
913.98
Byk-6
106,186
3
2,629.26
258.83
7,628.95
Byk-7
38,782
4
2,099.51
353.56
8,044.48
Byk-7
61,393
3
2,589.66
315.63
7,453.35
Byk-7
50,038
1
3,616.53
22.64
3,593.89
Byk-8
33,701
3
166.52
35.54
464.02
Byk-8
107,285
2
3,693.86
23.31
7,364.41
Byk-8
6,326
4
4,870.3
1,219.26
18,261.94
Byk-9
136,209
2
4,804.6
426.15
9,183.05
Byk-9
139,491
4
4,356.7
1,543.9
15,882.9
Byk-9
78,000
2
532.13
22.51
1,041.75
Byk-10
49,799
5
3,705.1
1,021.35
17,504.15
Byk-10
37,723
5
2,316.65
225.12
11,358.13
Byk-10
83,072
3
3,464.37
687.68
9,705.43
Byk-11
34,741
4
1,313.23
430.5
4,822.42
Byk-11
111,897
3
3,405.53
410.05
9,806.54
Byk-11
93,765
2
1,239.78
139.39
2,340.17
Byk-12
56,837
1
4,882.6
31.24
4,851.36
Byk-12
29,580
4
2,892.9
809.23
10,762.37
Byk-12
139,391
2
1,677.09
152.18
3,202
Byk-13
90,981
5
2,820.86
null
14,104.3
Byk-13
140,803
5
4,063.48
566.04
19,751.36
Byk-13
86,828
5
4,152.25
1,256.28
19,504.97
Byk-14
101,558
3
1,621.47
197.62
4,666.79
Byk-14
145,871
4
4,668.73
null
18,674.92
Byk-14
106,899
2
1,808.88
null
3,617.76
Byk-15
64,299
2
4,294.02
852.4
7,735.64
Byk-15
88,311
2
1,179.69
null
2,359.38
Byk-15
80,288
3
3,966.79
757.16
11,143.21
Byk-16
55,345
3
970.76
230.21
2,682.07
Byk-16
32,053
4
536.09
63.47
2,080.89
Byk-16
29,405
2
1,417.24
null
2,834.48
Byk-17
86,887
5
2,636.27
1,031.3
12,150.05
Byk-17
131,837
3
2,523.07
693.43
6,875.78
Byk-17
87,260
3
4,194.1
701.54
11,880.76
Byk-18
145,733
1
4,430.69
220.85
4,209.84
Byk-18
128,662
3
804.78
null
2,414.34
Byk-18
69,327
1
4,068.94
405.24
3,663.7
Byk-19
44,079
4
3,071.93
114.39
12,173.33
Byk-19
106,360
2
1,506.7
119.12
2,894.28
Byk-19
71,535
4
4,319.51
1,450.82
15,827.22
Byk-20
40,185
3
2,395.14
163.92
7,021.5
Byk-20
137,531
4
236.28
24.16
920.96
Byk-20
110,718
3
3,053.57
null
9,160.71
Byk-21
67,050
2
1,499.32
56.68
2,941.96
Byk-21
30,319
5
856.72
17.51
4,266.09
Byk-21
49,819
4
354.98
null
1,419.92
Byk-22
124,857
3
1,008.51
null
3,025.53
Byk-22
103,039
3
1,050.67
288.32
2,863.69
Byk-22
4,270
3
4,366.26
1,180.66
11,918.12
Byk-23
73,966
3
2,520.36
617.14
6,943.94
Byk-23
68,928
5
861.15
null
4,305.75
Byk-23
5,548
4
1,820.4
529.54
6,752.06
Byk-24
8,690
2
4,558.99
761.62
8,356.36
Byk-24
10,938
1
3,407.02
196.07
3,210.95
Byk-24
19,674
4
2,915.3
746.87
10,914.33
Byk-25
27,454
5
3,126.98
315.49
15,319.41
Byk-25
83,835
4
737.57
266.77
2,683.51
Byk-25
61,985
2
65.02
12.34
117.7
Byk-26
104,808
2
3,035.26
142.72
5,927.8
Byk-26
85,976
1
438.62
22.62
416
Byk-26
60,528
4
2,354.35
908.67
8,508.73
Byk-27
124,950
1
2,735.42
198.97
2,536.45
Byk-27
68,811
1
3,537.48
223.52
3,313.96
Byk-27
6,518
5
441.1
21.83
2,183.67
Byk-28
77,899
2
796.61
152.73
1,440.49
Byk-28
58,220
3
1,096.52
254.79
3,034.77
Byk-28
2,198
3
4,463.27
null
13,389.81
Byk-29
115,198
3
3,383.45
796.56
9,353.79
Byk-29
16,882
3
2,505.59
338.31
7,178.46
Byk-29
4,084
4
1,700.28
null
6,801.12
Byk-30
32,130
3
3,719.99
537.51
10,622.46
Byk-30
127,543
1
3,734.81
178.34
3,556.47
Byk-30
51,676
3
3,206.54
684.49
8,935.13
Byk-31
139,240
3
3,154.61
null
9,463.83
Byk-31
101,200
1
1,117.52
84.48
1,033.04
Byk-31
65,265
5
2,766.74
1,364.87
12,468.83
Byk-32
4,779
4
1,332.45
44.33
5,285.47
Byk-32
103,088
4
4,753.14
538.82
18,473.74
Byk-32
96,050
5
1,137.89
16.14
5,673.31
Byk-33
123,353
4
2,163.07
632.62
8,019.66
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