Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 151 items • Updated
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
project: string
version: string
scenarios: int64
algorithms: int64
primary_metrics: list<item: string>
child 0, item: string
fab_modes: list<item: string>
child 0, item: string
stack: list<item: string>
child 0, item: string
to
{'fab': Value('string'), 'load': Value('string'), 'disruption': Value('string'), 'strategy': Value('string'), 'mean_cycle_time_h': Value('float64'), 'p95_cycle_time_h': Value('float64'), 'on_time_delivery_pct': Value('float64'), 'avg_wip': Value('float64'), 'throughput_lots_per_week': Value('float64'), 'machine_utilization_pct': Value('float64'), 'tardiness_h': Value('float64'), 'primary_bottleneck': Value('string'), 'constraint_type': Value('string'), 'solve_time_sec': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
project: string
version: string
scenarios: int64
algorithms: int64
primary_metrics: list<item: string>
child 0, item: string
fab_modes: list<item: string>
child 0, item: string
stack: list<item: string>
child 0, item: string
to
{'fab': Value('string'), 'load': Value('string'), 'disruption': Value('string'), 'strategy': Value('string'), 'mean_cycle_time_h': Value('float64'), 'p95_cycle_time_h': Value('float64'), 'on_time_delivery_pct': Value('float64'), 'avg_wip': Value('float64'), 'throughput_lots_per_week': Value('float64'), 'machine_utilization_pct': Value('float64'), 'tardiness_h': Value('float64'), 'primary_bottleneck': Value('string'), 'constraint_type': Value('string'), 'solve_time_sec': Value('float64')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
fab string | load string | disruption string | strategy string | mean_cycle_time_h float64 | p95_cycle_time_h float64 | on_time_delivery_pct float64 | avg_wip float64 | throughput_lots_per_week float64 | machine_utilization_pct float64 | tardiness_h float64 | primary_bottleneck string | constraint_type string | solve_time_sec float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
semiconductor_frontend | baseline_mix | nominal | hybrid_rolling_horizon | 214.83 | 260.67 | 0 | 13.3 | 10.4 | 46.7 | 5,446.8 | lithography (reentrant pass) | qualification | 0.003 |
semiconductor_frontend | high_wip_surge | nominal | hybrid_rolling_horizon | 231.48 | 291.31 | 0 | 17.12 | 12.43 | 52.8 | 7,817.66 | lithography (reentrant pass) | qualification | 0.005 |
semiconductor_frontend | expedite_heavy | tool_down | critical_ratio | 232.16 | 277.58 | 0 | 14.75 | 10.67 | 47.2 | 5,904.43 | lithography (reentrant pass) | qualification | 0.004 |
semiconductor_frontend | high_wip_surge | yield_stress | lns_neighborhood | 208.69 | 274.32 | 0 | 16.3 | 13.12 | 54.8 | 6,884.63 | lithography (reentrant pass) | qualification | 0.036 |
pharma_tablet_line | baseline_mix | nominal | cp_sat_exact | 64.91 | 129.4 | 0 | 4.93 | 12.77 | 61.3 | 1,213.19 | lithography | capacity | 9.13 |
pharma_tablet_line | high_wip_surge | nominal | hybrid_rolling_horizon | 259.53 | 277.92 | 0 | 14.48 | 9.37 | 48.5 | 6,405.47 | lithography | capacity | 0.004 |
precision_optics | expedite_heavy | tool_down | atc_dispatch | 218.51 | 246.69 | 0 | 12.85 | 9.88 | 46.9 | 4,406.53 | lithography (reentrant pass) | qualification | 0.004 |
precision_optics | baseline_mix | nominal | hybrid_rolling_horizon | 182.76 | 269.01 | 0 | 11.45 | 10.52 | 49.5 | 3,540.84 | cleaning | batch_wip_limit | 0.005 |
null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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