Datasets:

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BoAmps 5

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
header: struct<licensing: string, formatVersion: string, reportId: string, reportDatetime: timestamp[s], reportStatus: string, publisher: struct<name: string, confidentialityLevel: string>>
task: struct<taskStage: string, taskFamily: string, nbRequest: int64, algorithms: list<item: struct<algorithmType: string, foundationModelName: string, foundationModelUri: string, framework: string, parametersNumber: int64, quantization: string>>, dataset: list<item: struct<dataUsage: string, dataType: string, dataQuantity: int64>>, estimatedAccuracy: string>
measures: list<item: struct<measurementMethod: string, version: string, cpuTrackingMode: string, gpuTrackingMode: string, powerConsumption: double, measurementDuration: double, measurementDateTime: timestamp[s]>>
system: struct<os: string>
software: struct<language: string, version: string>
infrastructure: struct<infraType: string, cloudProvider: string, components: list<item: struct<componentName: string, componentType: string, nbComponent: int64, manufacturer: string, family: string, series: string, memorySize: int64>>>
environment: struct<country: string, powerSupplierType: string>
quality: string
vs
header: struct<reportId: string, reportDatetime: timestamp[s], reportStatus: string, publisher: struct<name: string, division: string, projectName: string, confidentialityLevel: string>>
task: struct<taskFamily: string, taskStage: string, algorithms: list<item: struct<algorithmType: string, foundationModelName: string, parametersNumber: double, framework: string, quantization: string>>, dataset: list<item: struct<dataUsage: string, dataType: string, dataQuantity: int64, source: string, owner: string>>>
measures: list<item: struct<measurementMethod: string, version: string, cpuTrackingMode: string, gpuTrackingMode: string, powerConsumption: double, measurementDuration: double, measurementDateTime: timestamp[s]>>
system: struct<os: string>
software: struct<language: string, version: string>
infrastructure: struct<infraType: string, cloudProvider: string, components: list<item: struct<componentName: string, componentType: string, nbComponent: int64, memorySize: int64>>>
environment: struct<country: string, latitude: double, longitude: double>
quality: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 559, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              header: struct<licensing: string, formatVersion: string, reportId: string, reportDatetime: timestamp[s], reportStatus: string, publisher: struct<name: string, confidentialityLevel: string>>
              task: struct<taskStage: string, taskFamily: string, nbRequest: int64, algorithms: list<item: struct<algorithmType: string, foundationModelName: string, foundationModelUri: string, framework: string, parametersNumber: int64, quantization: string>>, dataset: list<item: struct<dataUsage: string, dataType: string, dataQuantity: int64>>, estimatedAccuracy: string>
              measures: list<item: struct<measurementMethod: string, version: string, cpuTrackingMode: string, gpuTrackingMode: string, powerConsumption: double, measurementDuration: double, measurementDateTime: timestamp[s]>>
              system: struct<os: string>
              software: struct<language: string, version: string>
              infrastructure: struct<infraType: string, cloudProvider: string, components: list<item: struct<componentName: string, componentType: string, nbComponent: int64, manufacturer: string, family: string, series: string, memorySize: int64>>>
              environment: struct<country: string, powerSupplierType: string>
              quality: string
              vs
              header: struct<reportId: string, reportDatetime: timestamp[s], reportStatus: string, publisher: struct<name: string, division: string, projectName: string, confidentialityLevel: string>>
              task: struct<taskFamily: string, taskStage: string, algorithms: list<item: struct<algorithmType: string, foundationModelName: string, parametersNumber: double, framework: string, quantization: string>>, dataset: list<item: struct<dataUsage: string, dataType: string, dataQuantity: int64, source: string, owner: string>>>
              measures: list<item: struct<measurementMethod: string, version: string, cpuTrackingMode: string, gpuTrackingMode: string, powerConsumption: double, measurementDuration: double, measurementDateTime: timestamp[s]>>
              system: struct<os: string>
              software: struct<language: string, version: string>
              infrastructure: struct<infraType: string, cloudProvider: string, components: list<item: struct<componentName: string, componentType: string, nbComponent: int64, memorySize: int64>>>
              environment: struct<country: string, latitude: double, longitude: double>
              quality: string