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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 53 new columns ({'Channel', 'Metric_13', 'Metric_23', 'Metric_03', 'Metric_40', 'Metric_35', 'Clicks', 'Region', 'Spend_USD', 'Device', 'Metric_39', 'Metric_31', 'Metric_02', 'Metric_33', 'Metric_12', 'Audience', 'Metric_18', 'Metric_36', 'Metric_06', 'Campaign_ID', 'Metric_14', 'Metric_29', 'Metric_25', 'Metric_04', 'Metric_05', 'Metric_16', 'Quality_Score', 'Metric_19', 'Metric_21', 'Impressions', 'Metric_10', 'Metric_27', 'Metric_26', 'Metric_20', 'Metric_28', 'Revenue_USD', 'Metric_17', 'Metric_22', 'Metric_24', 'Metric_11', 'Metric_32', 'Metric_37', 'Metric_01', 'Campaign_Type', 'Metric_08', 'Conversions', 'Metric_38', 'Metric_07', 'Metric_15', 'Metric_09', 'Metric_30', 'Metric_34', 'Date'}) and 1 missing columns ({'Timestamp|Depth_m|Pressure_bar|ROV_Temp_C|Battery_%|Heading_deg|Speed_kn|Status'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mihretab-N/turing/campaign_performance_dec.csv (at revision 7f4e3b99808d903c88c01c296bfdfdb312b8d8f7)
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
Campaign_ID: string
Date: string
Channel: string
Region: string
Campaign_Type: string
Device: string
Audience: string
Impressions: int64
Clicks: int64
Spend_USD: double
Conversions: int64
Revenue_USD: double
Quality_Score: int64
Metric_01: double
Metric_02: double
Metric_03: double
Metric_04: double
Metric_05: double
Metric_06: double
Metric_07: double
Metric_08: double
Metric_09: double
Metric_10: double
Metric_11: double
Metric_12: double
Metric_13: double
Metric_14: double
Metric_15: double
Metric_16: double
Metric_17: double
Metric_18: double
Metric_19: double
Metric_20: double
Metric_21: double
Metric_22: double
Metric_23: double
Metric_24: double
Metric_25: double
Metric_26: double
Metric_27: double
Metric_28: double
Metric_29: double
Metric_30: double
Metric_31: double
Metric_32: double
Metric_33: double
Metric_34: double
Metric_35: double
Metric_36: double
Metric_37: double
Metric_38: double
Metric_39: double
Metric_40: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 6543
to
{'Timestamp|Depth_m|Pressure_bar|ROV_Temp_C|Battery_%|Heading_deg|Speed_kn|Status': 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 1339, 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 972, 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 53 new columns ({'Channel', 'Metric_13', 'Metric_23', 'Metric_03', 'Metric_40', 'Metric_35', 'Clicks', 'Region', 'Spend_USD', 'Device', 'Metric_39', 'Metric_31', 'Metric_02', 'Metric_33', 'Metric_12', 'Audience', 'Metric_18', 'Metric_36', 'Metric_06', 'Campaign_ID', 'Metric_14', 'Metric_29', 'Metric_25', 'Metric_04', 'Metric_05', 'Metric_16', 'Quality_Score', 'Metric_19', 'Metric_21', 'Impressions', 'Metric_10', 'Metric_27', 'Metric_26', 'Metric_20', 'Metric_28', 'Revenue_USD', 'Metric_17', 'Metric_22', 'Metric_24', 'Metric_11', 'Metric_32', 'Metric_37', 'Metric_01', 'Campaign_Type', 'Metric_08', 'Conversions', 'Metric_38', 'Metric_07', 'Metric_15', 'Metric_09', 'Metric_30', 'Metric_34', 'Date'}) and 1 missing columns ({'Timestamp|Depth_m|Pressure_bar|ROV_Temp_C|Battery_%|Heading_deg|Speed_kn|Status'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mihretab-N/turing/campaign_performance_dec.csv (at revision 7f4e3b99808d903c88c01c296bfdfdb312b8d8f7)
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.
Timestamp|Depth_m|Pressure_bar|ROV_Temp_C|Battery_%|Heading_deg|Speed_kn|Status
string |
|---|
2024-06-01T00:05:00|4422|444.17|2.58|62|242|0.4|WARN
|
2024-06-01T00:10:00|4241|421.0|3.98|81|213|1.61|OK
|
2024-06-01T00:15:00|4325|405.11|2.39|41|111|1.57|OK
|
2024-06-01T00:20:00|4368|401.92|3.26|48|145|1.62|OK
|
2024-06-01T00:25:00|4543|401.55|3.39|100|222|1.49|OK
|
2024-06-01T00:30:00|4631|435.12|2.46|70|36|1.42|WARN
|
2024-06-01T00:35:00|4531|411.7|2.51|78|217|1.34|OK
|
2024-06-01T00:40:00|4542|427.57|2.93|81|31|0.57|WARN
|
2024-06-01T00:45:00|4492|445.91|3.94|51|260|0.8|OK
|
2024-06-01T00:50:00|4568|434.94|2.65|74|143|0.81|OK
|
2024-06-01T00:55:00|4338|423.63|2.69|99|139|0.98|OK
|
2024-06-01T01:00:00|4614|418.54|3.37|49|86|1.17|OK
|
2024-06-01T01:05:00|4462|404.75|2.07|48|289|1.61|OK
|
2024-06-01T01:10:00|4633|410.01|3.74|99|314|0.63|OK
|
2024-06-01T01:15:00|4567|419.49|3.79|97|249|1.5|WARN
|
2024-06-01T01:20:00|4264|432.52|3.36|59|241|1.14|WARN
|
2024-06-01T01:25:00|4233|424.81|3.94|89|234|1.89|OK
|
2024-06-01T01:30:00|4359|404.64|2.32|98|148|0.43|OK
|
2024-06-01T01:35:00|4205|408.44|3.47|54|237|0.71|OK
|
2024-06-01T01:40:00|4362|439.06|3.36|50|256|0.78|OK
|
2024-06-01T01:45:00|4393|415.59|3.94|100|272|0.91|OK
|
2024-06-01T01:50:00|4599|421.17|2.08|60|199|0.08|WARN
|
2024-06-01T01:55:00|4237|415.99|2.42|77|220|1.86|OK
|
2024-06-01T02:00:00|4336|407.72|3.88|56|91|0.36|OK
|
2024-06-01T02:05:00|4556|424.31|2.76|83|209|1.28|OK
|
2024-06-01T02:10:00|4420|430.43|3.17|84|85|1.39|OK
|
2024-06-01T02:15:00|4449|425.39|2.93|60|9|0.38|OK
|
2024-06-01T02:20:00|4218|423.54|3.61|95|48|0.39|OK
|
2024-06-01T02:25:00|4351|405.49|2.96|96|97|0.51|OK
|
2024-06-01T02:30:00|4606|447.9|2.95|48|155|1.58|OK
|
2024-06-01T02:35:00|4535|430.43|2.29|78|172|1.92|OK
|
2024-06-01T02:40:00|4251|424.45|2.55|89|40|1.41|OK
|
2024-06-01T02:45:00|4392|403.91|3.45|85|178|0.64|OK
|
2024-06-01T02:50:00|4254|401.17|2.92|46|265|0.21|OK
|
2024-06-01T02:55:00|4229|433.23|3.35|62|267|0.33|WARN
|
2024-06-01T03:00:00|4422|436.83|2.97|55|304|1.55|OK
|
2024-06-01T03:05:00|4356|440.76|2.05|76|253|0.09|WARN
|
2024-06-01T03:10:00|4690|428.84|2.69|89|256|1.23|WARN
|
2024-06-01T03:15:00|4574|425.23|2.15|44|28|1.45|WARN
|
2024-06-01T03:20:00|4513|446.65|2.97|54|16|1.56|OK
|
2024-06-01T03:25:00|4600|439.63|2.58|49|273|1.43|WARN
|
2024-06-01T03:30:00|4432|417.24|3.45|60|84|0.38|OK
|
2024-06-01T03:35:00|4521|426.03|2.7|83|223|1.89|OK
|
2024-06-01T03:40:00|4228|412.57|3.32|43|245|0.22|OK
|
2024-06-01T03:45:00|4258|421.85|2.44|78|92|1.42|WARN
|
2024-06-01T03:50:00|4303|401.74|3.03|62|94|1.92|OK
|
2024-06-01T03:55:00|4503|400.62|3.47|63|323|1.43|WARN
|
2024-06-01T04:00:00|4245|442.87|3.13|71|25|0.75|OK
|
2024-06-01T04:05:00|4239|438.43|2.61|49|328|0.57|OK
|
2024-06-01T04:10:00|4268|406.46|3.92|93|23|0.85|WARN
|
2024-06-01T04:15:00|4442|434.99|3.07|56|163|1.71|WARN
|
2024-06-01T04:20:00|4324|449.04|3.2|88|150|1.63|WARN
|
2024-06-01T04:25:00|4479|411.3|3.29|76|12|1.18|WARN
|
2024-06-01T04:30:00|4326|427.63|2.33|42|152|0.13|OK
|
2024-06-01T04:35:00|4500|400.06|3.81|47|242|0.4|OK
|
2024-06-01T04:40:00|4565|443.21|2.96|52|283|0.02|OK
|
2024-06-01T04:45:00|4285|435.54|3.87|67|38|0.59|OK
|
2024-06-01T04:50:00|4637|424.24|2.46|53|136|0.04|OK
|
2024-06-01T04:55:00|4409|425.29|2.95|42|264|0.84|OK
|
2024-06-01T05:00:00|4478|441.72|2.59|69|259|1.05|OK
|
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