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test-mcp-logs

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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'gradio' of the config 'gradio' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 2 was different: 
time: string
sessionId: string
endpointName: string
name: string
version: string
authorized: bool
durationMs: int64
success: bool
error: null
responseSizeBytes: int64
notificationCount: int64
mcpServerSessionId: string
vs
time: string
sessionId: string
endpointName: string
name: string
version: string
authorized: bool
durationMs: int64
success: bool
error: string
responseSizeBytes: int64
notificationCount: int64
mcpServerSessionId: 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 527, 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 2 was different: 
              time: string
              sessionId: string
              endpointName: string
              name: string
              version: string
              authorized: bool
              durationMs: int64
              success: bool
              error: null
              responseSizeBytes: int64
              notificationCount: int64
              mcpServerSessionId: string
              vs
              time: string
              sessionId: string
              endpointName: string
              name: string
              version: string
              authorized: bool
              durationMs: int64
              success: bool
              error: string
              responseSizeBytes: int64
              notificationCount: int64
              mcpServerSessionId: string

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