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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 ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/F1-strategic-branch-construction-v0.1/data/test.csv (at revision 16b26e40ed18e57ac21062e968e050034a2ad815), [/tmp/hf-datasets-cache/medium/datasets/16415671818493-config-parquet-and-info-ClarusC64-F1-strategic-br-9fc9e29a/hub/datasets--ClarusC64--F1-strategic-branch-construction-v0.1/snapshots/16b26e40ed18e57ac21062e968e050034a2ad815/data/test.csv (origin=hf://datasets/ClarusC64/F1-strategic-branch-construction-v0.1@16b26e40ed18e57ac21062e968e050034a2ad815/data/test.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 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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: string
race_state_summary: string
tyre_state: string
fuel_state: string
weather_state: string
track_position: string
competitor_context: string
viable_actions: double
optimal_branch_set: string
constraints: string
__index_level_0__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 1589
to
{'id': Value('string'), 'race_state_summary': Value('string'), 'tyre_state': Value('string'), 'fuel_state': Value('string'), 'weather_state': Value('string'), 'track_position': Value('string'), 'competitor_context': Value('string'), 'viable_actions': Value('string'), 'optimal_branch_set': Value('string'), 'constraints': 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 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/F1-strategic-branch-construction-v0.1/data/test.csv (at revision 16b26e40ed18e57ac21062e968e050034a2ad815), [/tmp/hf-datasets-cache/medium/datasets/16415671818493-config-parquet-and-info-ClarusC64-F1-strategic-br-9fc9e29a/hub/datasets--ClarusC64--F1-strategic-branch-construction-v0.1/snapshots/16b26e40ed18e57ac21062e968e050034a2ad815/data/test.csv (origin=hf://datasets/ClarusC64/F1-strategic-branch-construction-v0.1@16b26e40ed18e57ac21062e968e050034a2ad815/data/test.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)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 string | race_state_summary string | tyre_state string | fuel_state string | weather_state string | track_position string | competitor_context string | viable_actions string | optimal_branch_set string | constraints string |
|---|---|---|---|---|---|---|---|---|---|
SB-001 | Lap 38, medium tyres fading | front_deg 0.6 | fuel +12 laps | dry stable | P3 traffic ahead | leader pits lap40 | pit now; extend 2 laps; extend 5 laps | extend 2 laps; pit lap40 | Under 320 words |
SB-002 | Lap 22, safety car window | soft stable | fuel +30 laps | rain in 12 laps | P6 clear air | top5 boxed | pit under SC; stay out | pit under SC | Under 320 words |
SB-003 | Lap 51, tyre cliff risk | rear_deg 0.8 | fuel +9 laps | dry | P2 gap 2s | P1 defending | pit now; defend track; overcut | pit now | Under 320 words |
SB-004 | Lap 12 early degradation | front graining | fuel +45 laps | cloud building | P10 traffic | midfield pit window open | early pit; extend; switch tyre | early pit | Under 320 words |
SB-005 | Lap 60 sprint end | tyre marginal | fuel +5 laps | light rain | P5 | P4 on worn tyres | stay out; late pit | stay out | Under 320 words |
What this dataset tests
Whether an intelligence system can construct the full set of viable strategic branches from a live race state.
Not choose one option. Map the option space.
Required outputs
- branch construction
- timing window
- branch width
- fragility estimate
Use case
First layer of the Strategic Decision-Space Simulator.
It defines the decision tree before forecasting outcomes.
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