Aria AI — Manufacturing
Collection
Operations-research demos for maintenance, job-shop scheduling, and shop-floor resources. • 18 items • Updated
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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 3 new columns ({'from_id', 'minutes', 'to_id'}) and 5 missing columns ({'is_peak', 'date', 'weekday', 'day', 'weekday_fa'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/batch-scenarios/data/changeover.csv (at revision 8588fc28072e372bf5200d315818b74a3491c945), ['hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/calendar.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/changeover.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/compatibility.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/demand.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/documents.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/inventory.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/lines.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/products.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/settings.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/units.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
from_id: string
to_id: string
minutes: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 617
to
{'day': Value('int64'), 'date': Value('string'), 'weekday': Value('string'), 'weekday_fa': Value('string'), 'is_peak': Value('int64')}
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 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 1694, 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 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 3 new columns ({'from_id', 'minutes', 'to_id'}) and 5 missing columns ({'is_peak', 'date', 'weekday', 'day', 'weekday_fa'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/batch-scenarios/data/changeover.csv (at revision 8588fc28072e372bf5200d315818b74a3491c945), ['hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/calendar.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/changeover.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/compatibility.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/demand.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/documents.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/inventory.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/lines.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/products.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/settings.csv', 'hf://datasets/AriaAICompany/batch-scenarios@8588fc28072e372bf5200d315818b74a3491c945/data/units.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.
day int64 | date string | weekday string | weekday_fa string | is_peak int64 |
|---|---|---|---|---|
0 | 2026-10-05 | Monday | دوشنبه | 0 |
1 | 2026-10-06 | Tuesday | سهشنبه | 0 |
2 | 2026-10-07 | Wednesday | چهارشنبه | 0 |
3 | 2026-10-08 | Thursday | پنجشنبه | 0 |
4 | 2026-10-09 | Friday | جمعه | 1 |
5 | 2026-10-10 | Saturday | شنبه | 1 |
6 | 2026-10-11 | Sunday | یکشنبه | 0 |
null | null | null | null | null |
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0 | null | null | null | null |
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0 | null | null | null | null |
1 | null | null | null | null |
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3 | null | null | null | null |
4 | null | null | null | null |
5 | null | null | null | null |
End of preview.
Batch perishable kitchen scenarios
Synthetic 8-product / 2-line dairy and juice week for the Batch lot-sizing demo.
Live Gradio app and organization card: alirezaaminzadeh/batch and AriaAICompany/batch. Collection: Aria AI — Manufacturing.
Generated data, seed 24. Names, demand and CIP minutes are synthetic. Age 0 is same-day production. Opening inventory ages are 1 .. shelf_days-1. Leftover at the last usable age is waste and cannot be issued.
Files
- data/products.csv
- data/lines.csv
- data/demand.csv
- data/inventory.csv
- data/compatibility.csv
- data/changeover.csv
- data/documents.csv
- data/calendar.csv
- data/settings.csv
- data/units.csv
- data/sample_preview.json
Horizon
Day 0 is Monday 5 Oct 2026. Time unit for inventory is one calendar day. Line capacity is 16 clock hours.
L-dairy is not juice-compatible. Juice SKUs stay on L-flex. SOP rows in documents.csv are retrieval evidence; they are not executable orders.
License
CC-BY-4.0. Keep the synthetic-data label.
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