Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
id: string
status: string
timestamp: int64
startedAt: int64
completedAt: int64
platform: string
modelId: string
task: string
mode: string
device: string
dtype: string
batchSize: int64
repeats: int64
browser: string
headed: bool
runtime: string
metrics: struct<load_ms: struct<p50: double, p90: double, raw: list<item: double>>, first_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>, subsequent_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>>
environment: struct<userAgent: string, platform: string, cpuCores: int64, memory: struct<deviceMemory: int64>>
vs
id: string
status: string
timestamp: int64
startedAt: int64
completedAt: int64
platform: string
modelId: string
task: string
mode: string
device: string
dtype: string
batchSize: int64
repeats: int64
browser: string
headed: bool
runtime: string
metrics: struct<load_ms: struct<p50: double, p90: int64, raw: list<item: double>>, first_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>, subsequent_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>>
environment: struct<userAgent: string, platform: string, cpuCores: int64, memory: struct<deviceMemory: int64>, gpu: struct<vendor: string, renderer: string, webgpuAdapter: 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/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              id: string
              status: string
              timestamp: int64
              startedAt: int64
              completedAt: int64
              platform: string
              modelId: string
              task: string
              mode: string
              device: string
              dtype: string
              batchSize: int64
              repeats: int64
              browser: string
              headed: bool
              runtime: string
              metrics: struct<load_ms: struct<p50: double, p90: double, raw: list<item: double>>, first_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>, subsequent_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>>
              environment: struct<userAgent: string, platform: string, cpuCores: int64, memory: struct<deviceMemory: int64>>
              vs
              id: string
              status: string
              timestamp: int64
              startedAt: int64
              completedAt: int64
              platform: string
              modelId: string
              task: string
              mode: string
              device: string
              dtype: string
              batchSize: int64
              repeats: int64
              browser: string
              headed: bool
              runtime: string
              metrics: struct<load_ms: struct<p50: double, p90: int64, raw: list<item: double>>, first_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>, subsequent_infer_ms: struct<p50: double, p90: double, raw: list<item: double>>>
              environment: struct<userAgent: string, platform: string, cpuCores: int64, memory: struct<deviceMemory: int64>, gpu: struct<vendor: string, renderer: string, webgpuAdapter: string>>