Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
group: string
alignment_revision_verified: bool
all_pose_rows_verified: bool
archive_hashes_verified: bool
pairs: int64
vs
calibration_id: string
status: string
shared_usable_photo_pairs: int64
coverage: struct<A: struct<corner_span_fraction_x: double, corner_span_fraction_y: double, largest_view_min_dimension_fraction: double>, B: struct<corner_span_fraction_x: double, corner_span_fraction_y: double, largest_view_min_dimension_fraction: double>>
automatic_board_fit_status: string
automatic_board_fit_reasons: list<item: string>
full_fit: struct<stereo_rms_px: double, baseline_m: double>
cross_validation: struct<train_pairs: int64, holdout_pairs: int64, holdout_frame_ids: list<item: int64>, holdout_corners: int64, holdout_epipolar_median_px: double, holdout_epipolar_mean_px: double, holdout_epipolar_p90_px: double, holdout_triangulated_square_mean_m: double, holdout_triangulated_square_std_m: double, holdout_square_edges: int64>
limitations: list<item: string>
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 575, 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
return check_status(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:
group: string
alignment_revision_verified: bool
all_pose_rows_verified: bool
archive_hashes_verified: bool
pairs: int64
vs
calibration_id: string
status: string
shared_usable_photo_pairs: int64
coverage: struct<A: struct<corner_span_fraction_x: double, corner_span_fraction_y: double, largest_view_min_dimension_fraction: double>, B: struct<corner_span_fraction_x: double, corner_span_fraction_y: double, largest_view_min_dimension_fraction: double>>
automatic_board_fit_status: string
automatic_board_fit_reasons: list<item: string>
full_fit: struct<stereo_rms_px: double, baseline_m: double>
cross_validation: struct<train_pairs: int64, holdout_pairs: int64, holdout_frame_ids: list<item: int64>, holdout_corners: int64, holdout_epipolar_median_px: double, holdout_epipolar_mean_px: double, holdout_epipolar_p90_px: double, holdout_triangulated_square_mean_m: double, holdout_triangulated_square_std_m: double, holdout_square_edges: int64>
limitations: list<item: string>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.
iPhone stereo captures
Stereo iPhone capture batches and their calibration/quality reports.
- captures_1: previous October 2 captures, preserved with their original internal folder layout and calibration outputs.
- captures_2: October 13 local aligned recordings — 12 sequences, 14,901 frame pairs, three calibration-photo attempts, recovered interruption metadata and timing/calibration assessments.
The capture formats differ. Batch 1 contains separate phone exports, including RGB, LiDAR depth/confidence, poses, audio and synchronization records. Batch 2 contains A-side selected stereo JPEG pairs with timestamps, intrinsics, A pose/tracking/exposure and GPS when available; it does not include depth, audio or raw IMU.
For batch 2, estimated capture timestamp residuals are small (0.186 ms median / 0.269 ms maximum), but physical exposure synchronization remains unverified and the clock RTT proxy is about 1.95 ms. Calibration files are explicitly provisional; cross-set geometric consistency did not pass. See the batch assessment before reconstruction.
Capture/processing project: JizhuoChen/stereo_iphone.
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