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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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