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 5 new columns ({'text', 'page', 'doc_id', 'topic', 'skill'}) and 12 missing columns ({'name', 'asset_id', 'risk_reason', 'run_hours', 'risk_score', 'asset_type', 'risk_note', 'criticality', 'risk_method', 'importance', 'temperature_c', 'vibration_mm_s'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-maintain-scenarios/data/documents.csv (at revision 87398ecb93a4699f3613992f346737494b769a23), ['hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/assets.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/documents.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/jobs.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/parts.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/sensors.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/technicians.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
doc_id: string
topic: string
skill: string
text: string
page: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 822
to
{'asset_id': Value('string'), 'name': Value('string'), 'asset_type': Value('string'), 'criticality': Value('string'), 'vibration_mm_s': Value('float64'), 'temperature_c': Value('float64'), 'run_hours': Value('float64'), 'importance': Value('int64'), 'risk_score': Value('float64'), 'risk_method': Value('string'), 'risk_note': Value('string'), 'risk_reason': 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 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 5 new columns ({'text', 'page', 'doc_id', 'topic', 'skill'}) and 12 missing columns ({'name', 'asset_id', 'risk_reason', 'run_hours', 'risk_score', 'asset_type', 'risk_note', 'criticality', 'risk_method', 'importance', 'temperature_c', 'vibration_mm_s'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/aria-maintain-scenarios/data/documents.csv (at revision 87398ecb93a4699f3613992f346737494b769a23), ['hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/assets.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/documents.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/jobs.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/parts.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/sensors.csv', 'hf://datasets/AriaAICompany/aria-maintain-scenarios@87398ecb93a4699f3613992f346737494b769a23/data/technicians.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.
asset_id string | name string | asset_type string | criticality string | vibration_mm_s float64 | temperature_c float64 | run_hours float64 | importance int64 | risk_score float64 | risk_method string | risk_note string | risk_reason string |
|---|---|---|---|---|---|---|---|---|---|---|---|
A001 | Pump 001 | pump | A | 4.14 | 65.3 | 5,513 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.1 mm/s, temp 65 C, hours 5513, class A |
A002 | Motor 002 | motor | B | 6.01 | 73.5 | 7,968 | 2 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 6.0 mm/s, temp 74 C, hours 7968, class B |
A003 | Compressor 003 | compressor | A | 2.19 | 82.1 | 7,527 | 3 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 2.2 mm/s, temp 82 C, hours 7527, class A |
A004 | Pump 004 | pump | C | 4.78 | 92.1 | 1,054 | 1 | 7.3 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.8 mm/s, temp 92 C, hours 1054, class C |
A005 | Motor 005 | motor | B | 7.92 | 75.1 | 1,137 | 2 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 7.9 mm/s, temp 75 C, hours 1137, class B |
A006 | Compressor 006 | compressor | A | 4.53 | 53.8 | 6,069 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.5 mm/s, temp 54 C, hours 6069, class A |
A007 | Pump 007 | pump | A | 5.01 | 80.8 | 3,846 | 3 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 5.0 mm/s, temp 81 C, hours 3846, class A |
A008 | Motor 008 | motor | C | 1.93 | 80.8 | 6,811 | 1 | 6.52 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 1.9 mm/s, temp 81 C, hours 6811, class C |
A009 | Compressor 009 | compressor | A | 5.22 | 67.8 | 8,302 | 3 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 5.2 mm/s, temp 68 C, hours 8302, class A |
A010 | Pump 010 | pump | B | 6.28 | 60.4 | 8,021 | 2 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 6.3 mm/s, temp 60 C, hours 8021, class B |
A011 | Motor 011 | motor | A | 7.31 | 54.4 | 2,564 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 7.3 mm/s, temp 54 C, hours 2564, class A |
A012 | Compressor 012 | compressor | C | 2.67 | 86 | 2,372 | 1 | 5.88 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 2.7 mm/s, temp 86 C, hours 2372, class C |
A013 | Pump 013 | pump | A | 3.12 | 85.1 | 4,916 | 3 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 3.1 mm/s, temp 85 C, hours 4916, class A |
A014 | Motor 014 | motor | A | 3.17 | 90.3 | 7,485 | 3 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 3.2 mm/s, temp 90 C, hours 7485, class A |
A015 | Compressor 015 | compressor | B | 3.98 | 61.6 | 1,639 | 2 | 5.95 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.0 mm/s, temp 62 C, hours 1639, class B |
A016 | Pump 016 | pump | A | 7.25 | 86.4 | 6,437 | 3 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 7.2 mm/s, temp 86 C, hours 6437, class A |
A017 | Motor 017 | motor | A | 3.51 | 87.5 | 2,795 | 3 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 3.5 mm/s, temp 88 C, hours 2795, class A |
A018 | Compressor 018 | compressor | A | 6.8 | 57.3 | 7,274 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 6.8 mm/s, temp 57 C, hours 7274, class A |
A019 | Pump 019 | pump | B | 4.1 | 87.5 | 7,797 | 2 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.1 mm/s, temp 88 C, hours 7797, class B |
A020 | Motor 020 | motor | B | 8.51 | 77.2 | 3,609 | 2 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 8.5 mm/s, temp 77 C, hours 3609, class B |
A021 | Compressor 021 | compressor | A | 3.76 | 84 | 1,962 | 3 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 3.8 mm/s, temp 84 C, hours 1962, class A |
A022 | Pump 022 | pump | B | 7.34 | 72.4 | 1,100 | 2 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 7.3 mm/s, temp 72 C, hours 1100, class B |
A023 | Motor 023 | motor | A | 5.48 | 56.6 | 6,419 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 5.5 mm/s, temp 57 C, hours 6419, class A |
A024 | Compressor 024 | compressor | A | 7.38 | 93.6 | 8,130 | 3 | 15.67 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 7.4 mm/s, temp 94 C, hours 8130, class A |
A025 | Pump 025 | pump | B | 6.81 | 80.5 | 1,731 | 2 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 6.8 mm/s, temp 80 C, hours 1731, class B |
A026 | Motor 026 | motor | A | 2.17 | 89.4 | 7,615 | 3 | 11.06 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 2.2 mm/s, temp 89 C, hours 7615, class A |
A027 | Compressor 027 | compressor | B | 3.31 | 49.5 | 7,065 | 2 | 5.95 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 3.3 mm/s, temp 50 C, hours 7065, class B |
A028 | Pump 028 | pump | A | 3.99 | 75.7 | 4,101 | 3 | 9.55 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 4.0 mm/s, temp 76 C, hours 4101, class A |
A029 | Motor 029 | motor | A | 5.02 | 66.4 | 3,218 | 3 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 5.0 mm/s, temp 66 C, hours 3218, class A |
A030 | Compressor 030 | compressor | B | 5.7 | 52.2 | 6,969 | 2 | 9.26 | decision_tree_simulated | Simulated scheduling score. Not a calibrated failure probability. | vibration 5.7 mm/s, temp 52 C, hours 6969, class B |
null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null |
A001 | null | null | null | null | null | null | null | null | null | null | null |
A002 | null | null | null | null | null | null | null | null | null | null | null |
A003 | null | null | null | null | null | null | null | null | null | null | null |
A004 | null | null | null | null | null | null | null | null | null | null | null |
A005 | null | null | null | null | null | null | null | null | null | null | null |
A006 | null | null | null | null | null | null | null | null | null | null | null |
A007 | null | null | null | null | null | null | null | null | null | null | null |
A008 | null | null | null | null | null | null | null | null | null | null | null |
A009 | null | null | null | null | null | null | null | null | null | null | null |
A010 | null | null | null | null | null | null | null | null | null | null | null |
A011 | null | null | null | null | null | null | null | null | null | null | null |
A012 | null | null | null | null | null | null | null | null | null | null | null |
A013 | null | null | null | null | null | null | null | null | null | null | null |
A014 | null | null | null | null | null | null | null | null | null | null | null |
A015 | null | null | null | null | null | null | null | null | null | null | null |
A016 | null | null | null | null | null | null | null | null | null | null | null |
A017 | null | null | null | null | null | null | null | null | null | null | null |
A018 | null | null | null | null | null | null | null | null | null | null | null |
A019 | null | null | null | null | null | null | null | null | null | null | null |
A020 | null | null | null | null | null | null | null | null | null | null | null |
A021 | null | null | null | null | null | null | null | null | null | null | null |
A022 | null | null | null | null | null | null | null | null | null | null | null |
A023 | null | null | null | null | null | null | null | null | null | null | null |
A024 | null | null | null | null | null | null | null | null | null | null | null |
A025 | null | null | null | null | null | null | null | null | null | null | null |
A026 | null | null | null | null | null | null | null | null | null | null | null |
A027 | null | null | null | null | null | null | null | null | null | null | null |
A028 | null | null | null | null | null | null | null | null | null | null | null |
A029 | null | null | null | null | null | null | null | null | null | null | null |
A030 | null | null | null | null | null | null | null | null | null | null | null |
null | Bearing 6205 | null | null | null | null | null | null | null | null | null | null |
null | Belt A | null | null | null | null | null | null | null | null | null | null |
null | Coupling | null | null | null | null | null | null | null | null | null | null |
null | Filter Oil | null | null | null | null | null | null | null | null | null | null |
null | Seal Kit | null | null | null | null | null | null | null | null | null | null |
A001 | null | null | null | 2.94 | 66.2 | null | null | null | null | null | null |
A001 | null | null | null | 3.78 | 66.2 | null | null | null | null | null | null |
A001 | null | null | null | 3.93 | 65.3 | null | null | null | null | null | null |
A001 | null | null | null | 2.96 | 65.2 | null | null | null | null | null | null |
A001 | null | null | null | 3.67 | 65.8 | null | null | null | null | null | null |
A001 | null | null | null | 3.33 | 62.8 | null | null | null | null | null | null |
A001 | null | null | null | 4.31 | 65.3 | null | null | null | null | null | null |
A001 | null | null | null | 3.78 | 64.5 | null | null | null | null | null | null |
A001 | null | null | null | 3.37 | 66.1 | null | null | null | null | null | null |
A001 | null | null | null | 4.03 | 64.2 | null | null | null | null | null | null |
A001 | null | null | null | 3.54 | 64.5 | null | null | null | null | null | null |
A001 | null | null | null | 3.4 | 64.3 | null | null | null | null | null | null |
A001 | null | null | null | 3.78 | 63.2 | null | null | null | null | null | null |
A001 | null | null | null | 4.61 | 63.6 | null | null | null | null | null | null |
A001 | null | null | null | 3.76 | 67.4 | null | null | null | null | null | null |
A001 | null | null | null | 3.79 | 65.4 | null | null | null | null | null | null |
A001 | null | null | null | 4.2 | 67.3 | null | null | null | null | null | null |
A001 | null | null | null | 3.7 | 67.1 | null | null | null | null | null | null |
A001 | null | null | null | 3.67 | 67.6 | null | null | null | null | null | null |
A001 | null | null | null | 4.5 | 66 | null | null | null | null | null | null |
A001 | null | null | null | 4.03 | 67.2 | null | null | null | null | null | null |
A002 | null | null | null | 5.54 | 75 | null | null | null | null | null | null |
A002 | null | null | null | 4.8 | 73.5 | null | null | null | null | null | null |
A002 | null | null | null | 5.41 | 74.2 | null | null | null | null | null | null |
A002 | null | null | null | 4.76 | 71.6 | null | null | null | null | null | null |
A002 | null | null | null | 5.56 | 73 | null | null | null | null | null | null |
A002 | null | null | null | 5.5 | 72.2 | null | null | null | null | null | null |
A002 | null | null | null | 5.5 | 72.4 | null | null | null | null | null | null |
A002 | null | null | null | 5.08 | 72.1 | null | null | null | null | null | null |
End of preview.
AriaMaintain maintenance scenarios
Synthetic 30-asset / 14-day maintenance instance used by AriaMaintain.
Generated data, seed 24. Sensor values and risk labels are synthetic. Risk is a ranking score, not a failure probability.
Files
- data/assets.csv
- data/jobs.csv
- data/technicians.csv
- data/parts.csv
- data/sensors.csv
- data/documents.csv
- data/sample_preview.json
License
CC-BY-4.0. Keep the synthetic-data label.
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