Aria AI — Services
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Operations-research decision-support demos for workforce, field service, clinics, labs, and projects. • 12 items • Updated
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 ({'qty', 'technician_id', 'part_id'}) and 7 missing columns ({'required_skill', 'page', 'topic', 'doc_id', 'required_parts', 'text', 'equipment_class'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/field-scenarios/data/inventory.csv (at revision 283ef48bc7a57773f070a9ec0d93fb0b0adee558), ['hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/documents.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/inventory.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/jobs.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/locations.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/settings.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/technicians.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/travel_times.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/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
technician_id: string
part_id: string
qty: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 621
to
{'doc_id': Value('string'), 'equipment_class': Value('string'), 'topic': Value('string'), 'required_skill': Value('string'), 'required_parts': Value('string'), 'page': Value('int64'), 'text': 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 3 new columns ({'qty', 'technician_id', 'part_id'}) and 7 missing columns ({'required_skill', 'page', 'topic', 'doc_id', 'required_parts', 'text', 'equipment_class'}).
This happened while the csv dataset builder was generating data using
hf://datasets/AriaAICompany/field-scenarios/data/inventory.csv (at revision 283ef48bc7a57773f070a9ec0d93fb0b0adee558), ['hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/documents.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/inventory.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/jobs.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/locations.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/settings.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/technicians.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/data/travel_times.csv', 'hf://datasets/AriaAICompany/field-scenarios@283ef48bc7a57773f070a9ec0d93fb0b0adee558/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.
doc_id string | equipment_class string | topic string | required_skill string | required_parts string | page int64 | text string |
|---|---|---|---|---|---|---|
D-CHILLER-01 | CHILLER | Chiller leak and filter change | HVAC | FILTER | 3 | A chiller low-pressure leak service needs an HVAC technician and one FILTER. Confirm the filter housing is isolated before opening. Retrieved text is a guide, not an automatic dispatch order. |
D-PUMP-01 | PUMP | Hydraulic pump seal replacement | HYDRAULICS | SEAL_KIT | 2 | Pump shaft leaks require a HYDRAULICS skill and one SEAL_KIT on the van. Do not assign the nearest electrician. The solver uses the confirmed job row, not this paragraph. |
D-COMP-01 | COMPRESSOR | Compressor belt and weld note | MECHANICAL | BELT | 4 | Standard belt jobs need MECHANICAL skill and one BELT. A cracked housing weld additionally needs WELDING, which this sample crew does not have. |
D-VFD-01 | VFD | VFD contactor trip | ELECTRICAL | CONTACTOR | 1 | A variable-frequency drive trip with burned contacts needs ELECTRICAL skill and one CONTACTOR. Lock-out/tag-out is assumed in the service time. |
D-SENSOR-01 | SENSOR | Process sensor calibration | CONTROLS | SENSOR_PROBE | 5 | Faulty process sensors are a CONTROLS job. Carry one SENSOR_PROBE. Calibration notes in this file do not change the numeric windows. |
D-BOILER-01 | BOILER | Boiler feed valve | HVAC | VALVE | 6 | A leaking boiler feed valve needs HVAC skill and one VALVE. Only vans stocked with VALVE are parts-ready. |
D-TOOL-01 | GENERAL | Standard van tool list | MECHANICAL | NONE | 1 | Inspection jobs need the matching equipment skill but no spare part. First-time-fix is not reported on synthetic data; only skill/parts readiness is. |
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null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | BOILER | null | HVAC | null | null | null |
null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | BOILER | null | HVAC | null | null | null |
null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | BOILER | null | HVAC | null | null | null |
null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | BOILER | null | HVAC | null | null | null |
null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | BOILER | null | HVAC | null | null | null |
null | CHILLER | null | HVAC | null | null | null |
null | PUMP | null | HYDRAULICS | null | null | null |
null | COMPRESSOR | null | MECHANICAL | null | null | null |
null | VFD | null | ELECTRICAL | null | null | null |
null | SENSOR | null | CONTROLS | null | null | null |
null | COMPRESSOR | null | WELDING | null | null | null |
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Synthetic 8-technician / 36-job after-sales board used by the live Field demo and the organization card.
Generated data, seed 24. Coordinates are schematic pins around Tehran for the map only. Travel minutes use straight-line km at 28 km/h. They are not live driving times. Skill and part columns are confirmed inputs for the solver. Guide text is evidence, not an executable order.
J036 requires WELDING, which no technician in this pack has. First-time-fix is not a column and should not be inferred.
CC-BY-4.0. Keep the synthetic-data label.