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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 18 new columns ({'request_mode', 'volume', 'oi', 'ltq', 'atp', 'vtt', 'feed_timestamp', 'close', 'cp', 'tbq', 'tsq', 'ltt', 'ltp', 'low', 'open', 'received_timestamp', 'high', 'iv'}) and 7 missing columns ({'depth_level', 'ask_qty', 'ask_price', 'timestamp', 'tick_id', 'bid_qty', 'bid_price'}).

This happened while the csv dataset builder was generating data using

hf://datasets/antony9952/Nifty_option_TBT/market_ticks.csv (at revision 643b48383839947b5fe3ed9480c9f7c0f167e865)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              id: int64
              received_timestamp: string
              feed_timestamp: double
              instrument_key: string
              ltp: double
              ltt: int64
              ltq: int64
              cp: double
              open: double
              high: double
              low: double
              close: double
              volume: int64
              oi: int64
              iv: double
              atp: double
              vtt: int64
              tbq: int64
              tsq: int64
              request_mode: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2467
              to
              {'id': Value('int64'), 'tick_id': Value('int64'), 'instrument_key': Value('string'), 'timestamp': Value('string'), 'depth_level': Value('int64'), 'bid_price': Value('float64'), 'bid_qty': Value('float64'), 'ask_price': Value('float64'), 'ask_qty': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 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 18 new columns ({'request_mode', 'volume', 'oi', 'ltq', 'atp', 'vtt', 'feed_timestamp', 'close', 'cp', 'tbq', 'tsq', 'ltt', 'ltp', 'low', 'open', 'received_timestamp', 'high', 'iv'}) and 7 missing columns ({'depth_level', 'ask_qty', 'ask_price', 'timestamp', 'tick_id', 'bid_qty', 'bid_price'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/antony9952/Nifty_option_TBT/market_ticks.csv (at revision 643b48383839947b5fe3ed9480c9f7c0f167e865)
              
              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.

id
int64
tick_id
int64
instrument_key
string
timestamp
string
depth_level
int64
bid_price
float64
bid_qty
float64
ask_price
float64
ask_qty
int64
1
1
NSE_FO|58973
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0
50.85
2,250
51
1,575
2
1
NSE_FO|58973
2025-10-27 03:46:51
1
50.8
3,000
51.05
1,425
3
1
NSE_FO|58973
2025-10-27 03:46:51
2
50.75
1,725
51.1
2,475
4
1
NSE_FO|58973
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3
50.7
1,725
51.15
2,775
5
1
NSE_FO|58973
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4
50.65
1,575
51.2
2,175
6
2
NSE_FO|58970
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0
120.65
825
120.95
600
7
2
NSE_FO|58970
2025-10-27 03:46:51
1
120.6
1,650
121
1,275
8
2
NSE_FO|58970
2025-10-27 03:46:51
2
120.55
1,125
121.05
1,200
9
2
NSE_FO|58970
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3
120.5
1,500
121.1
675
10
2
NSE_FO|58970
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4
120.45
1,200
121.15
900
11
3
NSE_FO|58973
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0
50.85
2,250
51
1,575
12
3
NSE_FO|58973
2025-10-27 03:46:51
1
50.8
3,000
51.05
1,425
13
3
NSE_FO|58973
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2
50.75
1,725
51.1
2,475
14
3
NSE_FO|58973
2025-10-27 03:46:51
3
50.7
1,725
51.15
2,775
15
3
NSE_FO|58973
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4
50.65
1,575
51.2
2,175
16
4
NSE_FO|58970
2025-10-27 03:46:51
0
120.65
825
120.95
600
17
4
NSE_FO|58970
2025-10-27 03:46:51
1
120.6
1,650
121
1,275
18
4
NSE_FO|58970
2025-10-27 03:46:51
2
120.55
1,125
121.05
1,200
19
4
NSE_FO|58970
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3
120.5
1,500
121.1
675
20
4
NSE_FO|58970
2025-10-27 03:46:51
4
120.45
1,200
121.15
900
21
5
NSE_FO|58973
2025-10-27 03:46:52
0
51.4
225
51.45
525
22
5
NSE_FO|58973
2025-10-27 03:46:52
1
51.35
1,500
51.5
18,450
23
5
NSE_FO|58973
2025-10-27 03:46:52
2
51.3
2,550
51.55
825
24
5
NSE_FO|58973
2025-10-27 03:46:52
3
51.25
3,075
51.6
1,425
25
5
NSE_FO|58973
2025-10-27 03:46:52
4
51.2
2,100
51.65
1,125
26
6
NSE_FO|58970
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0
119.35
75
119.65
750
27
6
NSE_FO|58970
2025-10-27 03:46:52
1
119.3
975
119.7
1,500
28
6
NSE_FO|58970
2025-10-27 03:46:52
2
119.25
1,275
119.75
1,650
29
6
NSE_FO|58970
2025-10-27 03:46:52
3
119.2
1,125
119.8
1,125
30
6
NSE_FO|58970
2025-10-27 03:46:52
4
119.15
675
119.85
150
31
7
NSE_FO|58973
2025-10-27 03:46:52
0
51.4
225
51.45
525
32
7
NSE_FO|58973
2025-10-27 03:46:52
1
51.35
1,500
51.5
18,450
33
7
NSE_FO|58973
2025-10-27 03:46:52
2
51.3
2,550
51.55
825
34
7
NSE_FO|58973
2025-10-27 03:46:52
3
51.25
3,075
51.6
1,425
35
7
NSE_FO|58973
2025-10-27 03:46:52
4
51.2
2,100
51.65
1,125
36
8
NSE_FO|58970
2025-10-27 03:46:52
0
119.35
75
119.65
750
37
8
NSE_FO|58970
2025-10-27 03:46:52
1
119.3
975
119.7
1,500
38
8
NSE_FO|58970
2025-10-27 03:46:52
2
119.25
1,275
119.75
1,650
39
8
NSE_FO|58970
2025-10-27 03:46:52
3
119.2
1,125
119.8
1,125
40
8
NSE_FO|58970
2025-10-27 03:46:52
4
119.15
675
119.85
150
41
9
NSE_FO|58973
2025-10-27 03:46:53
0
52.05
1,350
52.15
300
42
9
NSE_FO|58973
2025-10-27 03:46:53
1
52
1,425
52.2
1,425
43
9
NSE_FO|58973
2025-10-27 03:46:53
2
51.95
2,400
52.25
3,300
44
9
NSE_FO|58973
2025-10-27 03:46:53
3
51.9
2,025
52.3
1,125
45
9
NSE_FO|58973
2025-10-27 03:46:53
4
51.85
1,800
52.35
2,925
46
10
NSE_FO|58970
2025-10-27 03:46:53
0
118.65
825
118.95
975
47
10
NSE_FO|58970
2025-10-27 03:46:53
1
118.6
675
119
1,575
48
10
NSE_FO|58970
2025-10-27 03:46:53
2
118.55
1,200
119.05
1,050
49
10
NSE_FO|58970
2025-10-27 03:46:53
3
118.5
1,500
119.1
900
50
10
NSE_FO|58970
2025-10-27 03:46:53
4
118.45
750
119.15
900
51
11
NSE_FO|58970
2025-10-27 03:46:54
0
118.65
825
118.95
975
52
11
NSE_FO|58970
2025-10-27 03:46:54
1
118.6
675
119
1,575
53
11
NSE_FO|58970
2025-10-27 03:46:54
2
118.55
1,200
119.05
1,050
54
11
NSE_FO|58970
2025-10-27 03:46:54
3
118.5
1,500
119.1
900
55
11
NSE_FO|58970
2025-10-27 03:46:54
4
118.45
750
119.15
900
56
12
NSE_FO|58973
2025-10-27 03:46:54
0
52.05
1,350
52.15
300
57
12
NSE_FO|58973
2025-10-27 03:46:54
1
52
1,425
52.2
1,425
58
12
NSE_FO|58973
2025-10-27 03:46:54
2
51.95
2,400
52.25
3,300
59
12
NSE_FO|58973
2025-10-27 03:46:54
3
51.9
2,025
52.3
1,125
60
12
NSE_FO|58973
2025-10-27 03:46:54
4
51.85
1,800
52.35
2,925
61
13
NSE_FO|58973
2025-10-27 03:46:55
0
51.3
525
51.35
150
62
13
NSE_FO|58973
2025-10-27 03:46:55
1
51.25
2,025
51.4
750
63
13
NSE_FO|58973
2025-10-27 03:46:55
2
51.2
2,475
51.45
1,725
64
13
NSE_FO|58973
2025-10-27 03:46:55
3
51.15
3,075
51.5
1,950
65
13
NSE_FO|58973
2025-10-27 03:46:55
4
51.1
2,100
51.55
1,425
66
14
NSE_FO|58970
2025-10-27 03:46:55
0
119.5
375
119.7
75
67
14
NSE_FO|58970
2025-10-27 03:46:55
1
119.45
600
119.75
525
68
14
NSE_FO|58970
2025-10-27 03:46:55
2
119.4
1,575
119.8
900
69
14
NSE_FO|58970
2025-10-27 03:46:55
3
119.35
1,200
119.85
1,500
70
14
NSE_FO|58970
2025-10-27 03:46:55
4
119.3
1,050
119.9
2,325
71
15
NSE_FO|58973
2025-10-27 03:46:55
0
51.3
525
51.35
150
72
15
NSE_FO|58973
2025-10-27 03:46:55
1
51.25
2,025
51.4
750
73
15
NSE_FO|58973
2025-10-27 03:46:55
2
51.2
2,475
51.45
1,725
74
15
NSE_FO|58973
2025-10-27 03:46:55
3
51.15
3,075
51.5
1,950
75
15
NSE_FO|58973
2025-10-27 03:46:55
4
51.1
2,100
51.55
1,425
76
16
NSE_FO|58970
2025-10-27 03:46:55
0
119.5
375
119.7
75
77
16
NSE_FO|58970
2025-10-27 03:46:55
1
119.45
600
119.75
525
78
16
NSE_FO|58970
2025-10-27 03:46:55
2
119.4
1,575
119.8
900
79
16
NSE_FO|58970
2025-10-27 03:46:55
3
119.35
1,200
119.85
1,500
80
16
NSE_FO|58970
2025-10-27 03:46:55
4
119.3
1,050
119.9
2,325
81
17
NSE_FO|58973
2025-10-27 03:46:56
0
50.6
375
50.7
1,125
82
17
NSE_FO|58973
2025-10-27 03:46:56
1
50.55
2,100
50.75
1,650
83
17
NSE_FO|58973
2025-10-27 03:46:56
2
50.5
2,925
50.8
4,650
84
17
NSE_FO|58973
2025-10-27 03:46:56
3
50.45
1,800
50.85
1,725
85
17
NSE_FO|58973
2025-10-27 03:46:56
4
50.4
2,175
50.9
2,400
86
18
NSE_FO|58970
2025-10-27 03:46:56
0
120.9
450
121.15
675
87
18
NSE_FO|58970
2025-10-27 03:46:56
1
120.85
750
121.2
825
88
18
NSE_FO|58970
2025-10-27 03:46:56
2
120.8
2,625
121.25
1,575
89
18
NSE_FO|58970
2025-10-27 03:46:56
3
120.75
1,275
121.3
975
90
18
NSE_FO|58970
2025-10-27 03:46:56
4
120.7
900
121.35
1,500
91
19
NSE_FO|58973
2025-10-27 03:46:57
0
50.6
375
50.7
1,125
92
19
NSE_FO|58973
2025-10-27 03:46:57
1
50.55
2,100
50.75
1,650
93
19
NSE_FO|58973
2025-10-27 03:46:57
2
50.5
2,925
50.8
4,650
94
19
NSE_FO|58973
2025-10-27 03:46:57
3
50.45
1,800
50.85
1,725
95
19
NSE_FO|58973
2025-10-27 03:46:57
4
50.4
2,175
50.9
2,400
96
20
NSE_FO|58970
2025-10-27 03:46:57
0
120.9
450
121.15
675
97
20
NSE_FO|58970
2025-10-27 03:46:57
1
120.85
750
121.2
825
98
20
NSE_FO|58970
2025-10-27 03:46:57
2
120.8
2,625
121.25
1,575
99
20
NSE_FO|58970
2025-10-27 03:46:57
3
120.75
1,275
121.3
975
100
20
NSE_FO|58970
2025-10-27 03:46:57
4
120.7
900
121.35
1,500
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