Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
camera_id: string
site: string
science_frame_id: string
filter: string
science_captured_at: string
signal_adu: int64
calibration_frame_id: string
calibration_captured_at: string
gap_minutes: int64
vs
camera_id: string
eligible_frames: int64
eligible_science: int64
published_science: int64
unpaired_science: int64
eligible_calibrations: int64
used_calibrations: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 591, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5012, 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
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              camera_id: string
              site: string
              science_frame_id: string
              filter: string
              science_captured_at: string
              signal_adu: int64
              calibration_frame_id: string
              calibration_captured_at: string
              gap_minutes: int64
              vs
              camera_id: string
              eligible_frames: int64
              eligible_science: int64
              published_science: int64
              unpaired_science: int64
              eligible_calibrations: int64
              used_calibrations: int64

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.

Observatory calibrated frame ledger

Release: Aurora-Reduction-2026-09

Window: 2026-09-20T00:00:00Z through 2026-09-20T06:00:00Z (inclusive).

Published science frames: 4
Unique calibrations used: 4

Pairing ledger

Camera Site Science frame Filter Calibration frame Gap (minutes)
CAM-N North Ridge SCI-N-G-1 g CAL-N-G-1 20
CAM-N North Ridge SCI-N-G-2 g CAL-N-G-2 10
CAM-N North Ridge SCI-N-G-3 g CAL-N-G-LATE 30
CAM-S South Bowl SCI-S-I-1 i CAL-S-I-B 30

Pairing uses qualified local frames and the deterministic nearest-calibration rule documented in the release files.

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