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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 1 new columns ({'Column Definition\n\n1. User Id: unique id for every user\n\n2. Games Played: number of games played by user at that time\n\n3. Datetime: Timestamp'}) and 1 missing columns ({'Column Definition\n\n1. User Id: unique id for every user\n\n2. Amount: amount deposited by user\n\n3. Datetime: Timestamp'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Abdullah4747/Gaming_Platform_Case_Study/User Gameplay Data.csv (at revision c6c464d9f070e86352c43d0872bc92c68942a23e)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Column Definition
1. User Id: unique id for every user
2. Games Played: number of games played by user at that time
3. Datetime: Timestamp: string
Unnamed: 1: string
Unnamed: 2: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 897
to
{'Column Definition\n\n1. User Id: unique id for every user\n\n2. Amount: amount deposited by user\n\n3. Datetime: Timestamp': Value(dtype='string', id=None), 'Unnamed: 1': Value(dtype='string', id=None), 'Unnamed: 2': Value(dtype='string', id=None)}
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 1436, 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 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, 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 1 new columns ({'Column Definition\n\n1. User Id: unique id for every user\n\n2. Games Played: number of games played by user at that time\n\n3. Datetime: Timestamp'}) and 1 missing columns ({'Column Definition\n\n1. User Id: unique id for every user\n\n2. Amount: amount deposited by user\n\n3. Datetime: Timestamp'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Abdullah4747/Gaming_Platform_Case_Study/User Gameplay Data.csv (at revision c6c464d9f070e86352c43d0872bc92c68942a23e)
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.
Column Definition
1. User Id: unique id for every user
2. Amount: amount deposited by user
3. Datetime: Timestamp
string | Unnamed: 1
string | Unnamed: 2
string |
|---|---|---|
null | null | null |
null | null | null |
User Id
|
Datetime
|
Amount
|
357
|
01-10-2022 0:03
|
2000
|
776
|
01-10-2022 0:03
|
2500
|
492
|
01-10-2022 0:06
|
5000
|
803
|
01-10-2022 0:07
|
5000
|
875
|
01-10-2022 0:09
|
1500
|
39
|
01-10-2022 0:11
|
4000
|
539
|
01-10-2022 0:13
|
500
|
560
|
01-10-2022 0:15
|
2500
|
30
|
01-10-2022 0:16
|
25000
|
367
|
01-10-2022 0:18
|
1000
|
831
|
01-10-2022 0:21
|
955
|
618
|
01-10-2022 0:24
|
2000
|
837
|
01-10-2022 0:25
|
516
|
625
|
01-10-2022 0:28
|
39000
|
614
|
01-10-2022 0:29
|
1300
|
539
|
01-10-2022 0:32
|
550
|
557
|
01-10-2022 0:37
|
5000
|
28
|
01-10-2022 0:40
|
50000
|
674
|
01-10-2022 0:42
|
5000
|
526
|
01-10-2022 0:43
|
5000
|
749
|
01-10-2022 0:43
|
1500
|
202
|
01-10-2022 0:45
|
4500
|
235
|
01-10-2022 0:49
|
1500
|
423
|
01-10-2022 0:49
|
500
|
984
|
01-10-2022 0:50
|
5000
|
796
|
01-10-2022 0:57
|
1100
|
395
|
01-10-2022 0:57
|
5000
|
137
|
01-10-2022 0:58
|
10000
|
837
|
01-10-2022 1:01
|
500
|
618
|
01-10-2022 1:01
|
2000
|
450
|
01-10-2022 1:05
|
200
|
914
|
01-10-2022 1:08
|
2500
|
565
|
01-10-2022 1:09
|
50
|
776
|
01-10-2022 1:11
|
6000
|
251
|
01-10-2022 1:14
|
800
|
505
|
01-10-2022 1:14
|
4000
|
220
|
01-10-2022 1:15
|
5500
|
972
|
01-10-2022 1:17
|
1000
|
421
|
01-10-2022 1:19
|
10000
|
539
|
01-10-2022 1:19
|
1350
|
514
|
01-10-2022 1:19
|
1000
|
114
|
01-10-2022 1:20
|
10000
|
909
|
01-10-2022 1:21
|
700
|
881
|
01-10-2022 1:24
|
6000
|
390
|
01-10-2022 1:25
|
3300
|
9
|
01-10-2022 1:27
|
1693
|
972
|
01-10-2022 1:27
|
65
|
352
|
01-10-2022 1:29
|
5000
|
145
|
01-10-2022 1:30
|
1000
|
449
|
01-10-2022 1:32
|
10203
|
9
|
01-10-2022 1:33
|
1752
|
980
|
01-10-2022 1:34
|
300
|
199
|
01-10-2022 1:37
|
2000
|
637
|
01-10-2022 1:37
|
3500
|
628
|
01-10-2022 1:38
|
1000
|
393
|
01-10-2022 1:41
|
200
|
445
|
01-10-2022 1:41
|
2000
|
628
|
01-10-2022 1:43
|
1000
|
367
|
01-10-2022 1:50
|
1000
|
586
|
01-10-2022 1:52
|
500
|
708
|
01-10-2022 1:53
|
12000
|
450
|
01-10-2022 1:57
|
1000
|
424
|
01-10-2022 2:00
|
2000
|
831
|
01-10-2022 2:01
|
500
|
352
|
01-10-2022 2:01
|
550
|
139
|
01-10-2022 2:03
|
500
|
532
|
01-10-2022 2:08
|
500
|
440
|
01-10-2022 2:10
|
2000
|
135
|
01-10-2022 2:30
|
1000
|
514
|
01-10-2022 2:32
|
2000
|
317
|
01-10-2022 2:36
|
2000
|
599
|
01-10-2022 2:37
|
4000
|
508
|
01-10-2022 2:45
|
10000
|
618
|
01-10-2022 2:52
|
2000
|
604
|
01-10-2022 2:52
|
2000
|
557
|
01-10-2022 3:02
|
5000
|
421
|
01-10-2022 3:03
|
8000
|
367
|
01-10-2022 3:08
|
1000
|
515
|
01-10-2022 3:09
|
40000
|
97
|
01-10-2022 3:19
|
500
|
695
|
01-10-2022 3:19
|
1000
|
390
|
01-10-2022 3:23
|
200
|
599
|
01-10-2022 3:27
|
10000
|
850
|
01-10-2022 3:27
|
5000
|
871
|
01-10-2022 3:29
|
2900
|
638
|
01-10-2022 3:30
|
200
|
139
|
01-10-2022 3:32
|
500
|
548
|
01-10-2022 3:33
|
100
|
783
|
01-10-2022 3:38
|
1000
|
181
|
01-10-2022 3:40
|
20000
|
978
|
01-10-2022 3:41
|
250
|
565
|
01-10-2022 3:42
|
2000
|
383
|
01-10-2022 3:43
|
500
|
366
|
01-10-2022 3:44
|
1000
|
654
|
01-10-2022 3:45
|
1999
|
959
|
01-10-2022 3:48
|
10000
|
618
|
01-10-2022 3:50
|
2000
|
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