Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
name: string
source_root: string
data_root: string
selection_policy: string
pair: struct<idx1: int64, idx2: int64, pair_stride: int64>
child 0, idx1: int64
child 1, idx2: int64
child 2, pair_stride: int64
selected_count: int64
selected: list<item: struct<scene: string, idx1: int64, idx2: int64, source_path: string, brightness: double, (... 195 chars omitted)
child 0, item: struct<scene: string, idx1: int64, idx2: int64, source_path: string, brightness: double, contrast: d (... 183 chars omitted)
child 0, scene: string
child 1, idx1: int64
child 2, idx2: int64
child 3, source_path: string
child 4, brightness: double
child 5, contrast: double
child 6, saturation: double
child 7, dark_frac_005: double
child 8, dark_frac_010: double
child 9, event_mean: double
child 10, event_p95: double
child 11, event_occupancy: double
child 12, translation_24_31: double
child 13, hard_score: double
all_rank_csv: string
source_sequence_overlap: bool
depth_shape: list<item: int64>
child 0, item: int64
frames: int64
image_size_hw: list<item: int64>
child 0, item: int64
source_sequence: string
status: string
counts: struct<depth_gt: int64, events: int64, images: int64>
child 0, depth_gt: int64
child 1, events: int64
child 2, images: int64
event_shape: list<item: int64>
child 0, item: int64
night3r_dsec_train_sequences: list<item: string>
child 0, item: string
to
{'counts': {'depth_gt': Value('int64'), 'events': Value('int64'), 'images': Value('int64')}, 'depth_shape': List(Value('int64')), 'event_shape': List(Value('int64')), 'frames': Value('int64'), 'image_size_hw': List(Value('int64')), 'night3r_dsec_train_sequences': List(Value('string')), 'source_sequence': Value('string'), 'source_sequence_overlap': Value('bool'), 'status': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
name: string
source_root: string
data_root: string
selection_policy: string
pair: struct<idx1: int64, idx2: int64, pair_stride: int64>
child 0, idx1: int64
child 1, idx2: int64
child 2, pair_stride: int64
selected_count: int64
selected: list<item: struct<scene: string, idx1: int64, idx2: int64, source_path: string, brightness: double, (... 195 chars omitted)
child 0, item: struct<scene: string, idx1: int64, idx2: int64, source_path: string, brightness: double, contrast: d (... 183 chars omitted)
child 0, scene: string
child 1, idx1: int64
child 2, idx2: int64
child 3, source_path: string
child 4, brightness: double
child 5, contrast: double
child 6, saturation: double
child 7, dark_frac_005: double
child 8, dark_frac_010: double
child 9, event_mean: double
child 10, event_p95: double
child 11, event_occupancy: double
child 12, translation_24_31: double
child 13, hard_score: double
all_rank_csv: string
source_sequence_overlap: bool
depth_shape: list<item: int64>
child 0, item: int64
frames: int64
image_size_hw: list<item: int64>
child 0, item: int64
source_sequence: string
status: string
counts: struct<depth_gt: int64, events: int64, images: int64>
child 0, depth_gt: int64
child 1, events: int64
child 2, images: int64
event_shape: list<item: int64>
child 0, item: int64
night3r_dsec_train_sequences: list<item: string>
child 0, item: string
to
{'counts': {'depth_gt': Value('int64'), 'events': Value('int64'), 'images': Value('int64')}, 'depth_shape': List(Value('int64')), 'event_shape': List(Value('int64')), 'frames': Value('int64'), 'image_size_hw': List(Value('int64')), 'night3r_dsec_train_sequences': List(Value('string')), 'source_sequence': Value('string'), 'source_sequence_overlap': Value('bool'), 'status': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Night3R evaluation scenes
Consolidated test-scene copy used with the Night3R checkpoints in Passwerob/Night3R. Code: github.com/Passwerob/Night3r.
Local copy date: 2026-07-16. This upload is the directory test/ from that tree, including manifests. Scene contents were copied with symlinks dereferenced, so each scene is a physical copy.
Layout
DSEC/ unique DSEC scenes
MVSEC/ unique MVSEC scenes
DL3DV/ unique DL3DV scenes
manifests/ split definitions and the scene inventory
Each scene follows the Night3R screen format:
screen-XXXX/
images/*.png
events/*.pt
depth_gt/*.pt optional
cameras.yaml optional
transforms.json optional
meta/poses_selected.npz optional
meta.json optional
Protocol notes
- DSEC
screen-000003-dsecis the strict current held-out DSEC scene. - DSEC
screen-000004-dsecis the additional strict held-out scene exported fromzurich_city_11_b. It does not overlap the Night3R DSEC training sequencesinterlaken_00_c/interlaken_00_e. - DSEC
screen-000002-dsecis an archived diagnostic scene and overlaps the DSEC training split. - MVSEC scenes are evaluation definitions, but they overlap the full MVSEC root used by the MVSEC-only 1k checkpoint.
- DL3DV scenes are the held-out evaluation pool and do not overlap the Night3R DL3DV training scene names.
Paper-evaluation selections recorded with this copy:
- DSEC extended strict:
screen-000003-dsecandscreen-000004-dsec - MVSEC:
screen-000123-mvsec,screen-000157-mvsec,screen-000200-mvsec,screen-000205-mvsec,screen-000207-mvsec,screen-000220-mvsec - DL3DV: all scenes under
DL3DV/, unless a manifest selects the hard or MASt3R-gap subset
See manifests/ for the exact split lists.
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