Datasets:

JimGalasyn
/

vortex-vision-data

Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7f9008120cc0>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
                  example = _apply_feature_types_on_example(
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2159, in _apply_feature_types_on_example
                  decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2204, in decode_example
                  column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 190, in decode_example
                  image = PIL.Image.open(bytes_)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/PIL/Image.py", line 3498, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f9008120cc0>

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Vortex Vision Training Data

Multi-scale vortex structure training images for the vortex-vision CNN/GNN pipeline.

Overview

This dataset contains labeled images of vortex structures across physical scales, from atmospheric phenomena (tornadoes, waterspouts, jellyfish clouds) to astronomical objects (nebular pillars, proplyds, filaments). The goal is to train a neural network that identifies vortex morphologies (columns, rings, braids, Y-junctions, X-crossings, kinks) independent of scale and medium.

Organization

atmospheric/
├── waterspouts/     # Waterspout photographs
├── tornadoes/       # Tornado photographs
└── clouds/          # Jellyfish clouds, funnel clouds
nebular/
├── pillars/         # Eagle Nebula, Carina, IC 1396A, etc.
├── proplyds/        # Protoplanetary disks in Orion, etc.
├── jets/            # Protostellar jets
└── filaments/       # Galactic center, dust lanes
laboratory/          # Smoke rings, PIV, superfluid He
simulation/          # GPE and Biot-Savart simulation outputs

Catalog

The catalog metadata (object definitions, observation records, feature annotations) is maintained in the main vortex-vision repository under data/catalog/ and data/annotations/. Image filenames in the catalog reference paths in this dataset.

Key Objects

Object ID	Name	Scale	Features
neb_pillar_001	IC 1396A Elephant Trunk	Nebular	Ring, braid, Y-junction, virga, self-similar sub-ring
atmo_waterspout_001	Whitsunday Waterspout	Atmospheric	Resolved braid, ring at base and top
atmo_tornado_001	Y-Junction Tornado	Atmospheric	Textbook Y-junction
atmo_waterspout_002	Po River Delta Merger	Atmospheric	Time-resolved vortex reconnection (4 frames)

Vortex Feature Taxonomy

Column: Elongated vortex filament
Ring: Toroidal vortex (ring vortex)
Braid: Two or more filaments wound around shared axis
Y-junction: Three filaments meeting at a point (merge or split)
X-crossing: Two filaments crossing/reconnecting
Kink: Sharp bend in a filament (possibly from embedded ring)
Kelvin wave: Helical oscillation along a filament
Virga: Entrained material draping from a ring vortex

License

Individual image licenses vary — see the observation catalog for per-image attribution and license information. Dataset structure and annotations are CC-BY-SA 4.0.

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