Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
scenario_id: string
scenario_label: string
industry: string
stress_scenario: string
reliability_target: double
horizon_days: int64
budget_limit: double
description: string
equipment: list<item: struct<asset_id: string, name: string, asset_type: string, criticality: string, age_years (... 286 chars omitted)
child 0, item: struct<asset_id: string, name: string, asset_type: string, criticality: string, age_years: double, o (... 274 chars omitted)
child 0, asset_id: string
child 1, name: string
child 2, asset_type: string
child 3, criticality: string
child 4, age_years: double
child 5, operating_hours: double
child 6, vibration_index: double
child 7, temperature_c: double
child 8, days_since_last_pm: int64
child 9, failure_probability_30d: double
child 10, mtbf_hours: double
child 11, mttr_hours: double
child 12, pm_duration_hours: double
child 13, downtime_cost_per_hour: double
child 14, required_part_id: string
child 15, location: string
technicians: list<item: struct<technician_id: string, name: string, specialty: string, skill_level: double, hourl (... 65 chars omitted)
child 0, item: struct<technician_id: string, name: string, specialty: string, skill_level: double, hourly_rate: dou (... 53 chars omitted)
child 0, technician_id: string
child 1, name: string
child 2, specialty: string
child 3, skill_level: double
child 4, hourly_rate: double
...
ing>
child 0, type: string
child 2, specialty: struct<type: string>
child 0, type: string
child 3, skill_level: struct<type: string>
child 0, type: string
child 4, hourly_rate: struct<type: string>
child 0, type: string
child 4, spare_parts: struct<type: string, items: struct<type: string, required: list<item: string>, properties: struct<pa (... 198 chars omitted)
child 0, type: string
child 1, items: struct<type: string, required: list<item: string>, properties: struct<part_id: struct<type: string>, (... 169 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<part_id: struct<type: string>, name: struct<type: string>, unit_cost: struct<type: string>, s (... 105 chars omitted)
child 0, part_id: struct<type: string>
child 0, type: string
child 1, name: struct<type: string>
child 0, type: string
child 2, unit_cost: struct<type: string>
child 0, type: string
child 3, stock_on_hand: struct<type: string>
child 0, type: string
child 4, lead_time_days: struct<type: string>
child 0, type: string
child 5, critical: struct<type: string>
child 0, type: string
to
{'$schema': Value('string'), 'title': Value('string'), 'type': Value('string'), 'required': List(Value('string')), 'properties': {'industry': {'type': Value('string')}, 'scenario_label': {'type': Value('string')}, 'equipment': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'asset_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'asset_type': {'type': Value('string')}, 'criticality': {'enum': List(Value('string'))}, 'age_years': {'type': Value('string')}, 'operating_hours': {'type': Value('string')}, 'vibration_index': {'type': Value('string')}, 'temperature_c': {'type': Value('string')}, 'days_since_last_pm': {'type': Value('string')}, 'mtbf_hours': {'type': Value('string')}, 'mttr_hours': {'type': Value('string')}}}}, 'technicians': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'technician_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'specialty': {'type': Value('string')}, 'skill_level': {'type': Value('string')}, 'hourly_rate': {'type': Value('string')}}}}, 'spare_parts': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'part_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'unit_cost': {'type': Value('string')}, 'stock_on_hand': {'type': Value('string')}, 'lead_time_days': {'type': Value('string')}, 'critical': {'type': Value('string')}}}}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
scenario_id: string
scenario_label: string
industry: string
stress_scenario: string
reliability_target: double
horizon_days: int64
budget_limit: double
description: string
equipment: list<item: struct<asset_id: string, name: string, asset_type: string, criticality: string, age_years (... 286 chars omitted)
child 0, item: struct<asset_id: string, name: string, asset_type: string, criticality: string, age_years: double, o (... 274 chars omitted)
child 0, asset_id: string
child 1, name: string
child 2, asset_type: string
child 3, criticality: string
child 4, age_years: double
child 5, operating_hours: double
child 6, vibration_index: double
child 7, temperature_c: double
child 8, days_since_last_pm: int64
child 9, failure_probability_30d: double
child 10, mtbf_hours: double
child 11, mttr_hours: double
child 12, pm_duration_hours: double
child 13, downtime_cost_per_hour: double
child 14, required_part_id: string
child 15, location: string
technicians: list<item: struct<technician_id: string, name: string, specialty: string, skill_level: double, hourl (... 65 chars omitted)
child 0, item: struct<technician_id: string, name: string, specialty: string, skill_level: double, hourly_rate: dou (... 53 chars omitted)
child 0, technician_id: string
child 1, name: string
child 2, specialty: string
child 3, skill_level: double
child 4, hourly_rate: double
...
ing>
child 0, type: string
child 2, specialty: struct<type: string>
child 0, type: string
child 3, skill_level: struct<type: string>
child 0, type: string
child 4, hourly_rate: struct<type: string>
child 0, type: string
child 4, spare_parts: struct<type: string, items: struct<type: string, required: list<item: string>, properties: struct<pa (... 198 chars omitted)
child 0, type: string
child 1, items: struct<type: string, required: list<item: string>, properties: struct<part_id: struct<type: string>, (... 169 chars omitted)
child 0, type: string
child 1, required: list<item: string>
child 0, item: string
child 2, properties: struct<part_id: struct<type: string>, name: struct<type: string>, unit_cost: struct<type: string>, s (... 105 chars omitted)
child 0, part_id: struct<type: string>
child 0, type: string
child 1, name: struct<type: string>
child 0, type: string
child 2, unit_cost: struct<type: string>
child 0, type: string
child 3, stock_on_hand: struct<type: string>
child 0, type: string
child 4, lead_time_days: struct<type: string>
child 0, type: string
child 5, critical: struct<type: string>
child 0, type: string
to
{'$schema': Value('string'), 'title': Value('string'), 'type': Value('string'), 'required': List(Value('string')), 'properties': {'industry': {'type': Value('string')}, 'scenario_label': {'type': Value('string')}, 'equipment': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'asset_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'asset_type': {'type': Value('string')}, 'criticality': {'enum': List(Value('string'))}, 'age_years': {'type': Value('string')}, 'operating_hours': {'type': Value('string')}, 'vibration_index': {'type': Value('string')}, 'temperature_c': {'type': Value('string')}, 'days_since_last_pm': {'type': Value('string')}, 'mtbf_hours': {'type': Value('string')}, 'mttr_hours': {'type': Value('string')}}}}, 'technicians': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'technician_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'specialty': {'type': Value('string')}, 'skill_level': {'type': Value('string')}, 'hourly_rate': {'type': Value('string')}}}}, 'spare_parts': {'type': Value('string'), 'items': {'type': Value('string'), 'required': List(Value('string')), 'properties': {'part_id': {'type': Value('string')}, 'name': {'type': Value('string')}, 'unit_cost': {'type': Value('string')}, 'stock_on_hand': {'type': Value('string')}, 'lead_time_days': {'type': Value('string')}, 'critical': {'type': Value('string')}}}}}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MaintOpt Sample Fleet Dataset
Synthetic equipment fleet data for the MaintOpt Maintenance & Spare Parts Optimizer.
Contents
| File | Description |
|---|---|
sample_factory.json |
Factory production plant fleet (10 assets) |
sample_aviation.json |
Aviation MRO component fleet (8 assets) |
fleet_schema.json |
JSON schema for fleet data structure |
Schema
Each fleet record contains:
- equipment: asset ID, type, criticality, sensor readings, MTBF/MTTR
- technicians: specialty, skill level, availability
- spare_parts: stock levels, lead times, compatibility
Usage
import json
with open("sample_factory.json") as f:
fleet = json.load(f)
License
Apache 2.0 — Aria AI Engineering Team
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