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StarAtNyte1
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aether-cooked

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webgl

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train

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
format: int64
tier: string
boot: int64
pairs: list<item: list<item: string>>
  child 0, item: list<item: string>
      child 0, item: string
sources: struct<64bd030636d6511760d: string, 4da656a1fa5028a6f12: string, fc7e3cceef8eba2b7c5: string, d339e7 (... 5762 chars omitted)
  child 0, 64bd030636d6511760d: string
  child 1, 4da656a1fa5028a6f12: string
  child 2, fc7e3cceef8eba2b7c5: string
  child 3, d339e7e99ab77c20ed3: string
  child 4, a43a1edf8b2ab87c618: string
  child 5, d64041e992fde39846f: string
  child 6, e0f88ae9677fb0547dd: string
  child 7, cb3b7b5dd34babd41061: string
  child 8, e248c1142b87928d911: string
  child 9, cb0f41c17e9276a43781: string
  child 10, 23db9e6efe92fec937a6: string
  child 11, 1aa50d12bc0aebe160a: string
  child 12, 263c2da5a81451f8585: string
  child 13, 9c28fec095a0f90564b: string
  child 14, 112147abb9a263001f32: string
  child 15, 6e6606f4f3b2a093ef2: string
  child 16, c973e00f75192fc0e526: string
  child 17, 67c8ad845848bc71d3f: string
  child 18, 5e4348ddeedcffc8cd27: string
  child 19, 3a5d10fea65b1741dda: string
  child 20, 685a59794cf8b536bade: string
  child 21, fda52e6903ab25f0bac7: string
  child 22, 58b3fd025430abddec6: string
  child 23, d45ab0963c5a48d7e11d: string
  child 24, a18bb1ca7ee6032bd99: string
  child 25, a7f5d9e28d7fdc2bcbaf: string
  child 26, 7dc817b6e1701c03cbaf: string
  child 27, 774a568dac85abe6ca0: string
  child 28, 64bd5839c9822734ad29: string
  child 29, 2773d0e9158f8d4aad12: string
  child 30, a149228a0
...
d 165, d79c465e81f4f899f2e: string
  child 166, e76468d1ab0f19ecb547: string
  child 167, 74dfbc438d433760dc2: string
  child 168, f4a778bb74fda2eeb2a9: string
  child 169, 50c496c0b71631bbde6: string
  child 170, 3fb78dd8036191cfcc7e: string
  child 171, 8759b95db613e8c8fc3: string
  child 172, 4e02518ac3a7e675bb74: string
  child 173, 55f06739e84b378adda: string
  child 174, e00c227a34928d99bb60: string
  child 175, 34dee45421445b5bef2: string
  child 176, b2520e3a8f29239fe54b: string
  child 177, c24fb3a72a5a8b1ad3f: string
  child 178, 555cb48de131fe40cd77: string
  child 179, 66a5fddcf48b01d16d9: string
  child 180, bfc7480a74f7aabdf10: string
  child 181, 078f2350d3223a35681: string
  child 182, b3c55da397183bdeb6b: string
  child 183, 6a92b2865524b69bb11: string
  child 184, b0ce2be2c0e1d7bdac0: string
  child 185, b31a96151adfbe24a65: string
  child 186, 5dac3077eafb1f32a0f: string
  child 187, a505e9526a6a019d61a: string
  child 188, 6ae93ba7bc0bec2e57d: string
  child 189, 74801ba27ca60bd772f: string
  child 190, f1c9029221f016211288: string
  child 191, e281d9a2765049c9744: string
  child 192, 94e921a2e636874724c3: string
  child 193, f4615ba78b3f3544ec6: string
  child 194, 1fd835a3624341ecdf5e: string
  child 195, 5ad3bf95fd2dd572ec6: string
  child 196, bd26102439889db5e16d: string
  child 197, 69667be99eb2385eef2: string
  child 198, 09827f166ed40b8fe4fb: string
keys: list<item: string>
  child 0, item: string
volumes: list<item: string>
  child 0, item: string
to
{'keys': List(Value('string')), 'volumes': List(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
              format: int64
              tier: string
              boot: int64
              pairs: list<item: list<item: string>>
                child 0, item: list<item: string>
                    child 0, item: string
              sources: struct<64bd030636d6511760d: string, 4da656a1fa5028a6f12: string, fc7e3cceef8eba2b7c5: string, d339e7 (... 5762 chars omitted)
                child 0, 64bd030636d6511760d: string
                child 1, 4da656a1fa5028a6f12: string
                child 2, fc7e3cceef8eba2b7c5: string
                child 3, d339e7e99ab77c20ed3: string
                child 4, a43a1edf8b2ab87c618: string
                child 5, d64041e992fde39846f: string
                child 6, e0f88ae9677fb0547dd: string
                child 7, cb3b7b5dd34babd41061: string
                child 8, e248c1142b87928d911: string
                child 9, cb0f41c17e9276a43781: string
                child 10, 23db9e6efe92fec937a6: string
                child 11, 1aa50d12bc0aebe160a: string
                child 12, 263c2da5a81451f8585: string
                child 13, 9c28fec095a0f90564b: string
                child 14, 112147abb9a263001f32: string
                child 15, 6e6606f4f3b2a093ef2: string
                child 16, c973e00f75192fc0e526: string
                child 17, 67c8ad845848bc71d3f: string
                child 18, 5e4348ddeedcffc8cd27: string
                child 19, 3a5d10fea65b1741dda: string
                child 20, 685a59794cf8b536bade: string
                child 21, fda52e6903ab25f0bac7: string
                child 22, 58b3fd025430abddec6: string
                child 23, d45ab0963c5a48d7e11d: string
                child 24, a18bb1ca7ee6032bd99: string
                child 25, a7f5d9e28d7fdc2bcbaf: string
                child 26, 7dc817b6e1701c03cbaf: string
                child 27, 774a568dac85abe6ca0: string
                child 28, 64bd5839c9822734ad29: string
                child 29, 2773d0e9158f8d4aad12: string
                child 30, a149228a0
              ...
              d 165, d79c465e81f4f899f2e: string
                child 166, e76468d1ab0f19ecb547: string
                child 167, 74dfbc438d433760dc2: string
                child 168, f4a778bb74fda2eeb2a9: string
                child 169, 50c496c0b71631bbde6: string
                child 170, 3fb78dd8036191cfcc7e: string
                child 171, 8759b95db613e8c8fc3: string
                child 172, 4e02518ac3a7e675bb74: string
                child 173, 55f06739e84b378adda: string
                child 174, e00c227a34928d99bb60: string
                child 175, 34dee45421445b5bef2: string
                child 176, b2520e3a8f29239fe54b: string
                child 177, c24fb3a72a5a8b1ad3f: string
                child 178, 555cb48de131fe40cd77: string
                child 179, 66a5fddcf48b01d16d9: string
                child 180, bfc7480a74f7aabdf10: string
                child 181, 078f2350d3223a35681: string
                child 182, b3c55da397183bdeb6b: string
                child 183, 6a92b2865524b69bb11: string
                child 184, b0ce2be2c0e1d7bdac0: string
                child 185, b31a96151adfbe24a65: string
                child 186, 5dac3077eafb1f32a0f: string
                child 187, a505e9526a6a019d61a: string
                child 188, 6ae93ba7bc0bec2e57d: string
                child 189, 74801ba27ca60bd772f: string
                child 190, f1c9029221f016211288: string
                child 191, e281d9a2765049c9744: string
                child 192, 94e921a2e636874724c3: string
                child 193, f4615ba78b3f3544ec6: string
                child 194, 1fd835a3624341ecdf5e: string
                child 195, 5ad3bf95fd2dd572ec6: string
                child 196, bd26102439889db5e16d: string
                child 197, 69667be99eb2385eef2: string
                child 198, 09827f166ed40b8fe4fb: string
              keys: list<item: string>
                child 0, item: string
              volumes: list<item: string>
                child 0, item: string
              to
              {'keys': List(Value('string')), 'volumes': List(Value('string'))}
              because column names don't match

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Aether cooked worlds

Cooked packages of the template worlds that ship with Aether, an open-source editor for 3D worlds in the browser. The Aether player reads a world's package from here and draws it without running the generators: it downloads geometry that was already generated and a list of shader programs to compile first.

Layout

<slug>/manifest.json                 which cook the player opens for this world (the only file that changes)
<slug>/<id>/packs/<nnnn>.bin         generated geometry, packed by grid cell
<slug>/<id>/programs/<tier>.json     shader programs of one render tier

<id> is derived from the world's content and the generator code version. Files under an id never change. A new cook of a world gets a new id, and its manifest is uploaded only after all of its files are in place. The format is documented in docs/ARCHITECTURE-STREAMING.md ("Cooked package format") in the Aether repository.

The files are made by scripts/cook.ts and uploaded by scripts/cook-upload.ts. They are build artefacts: the template worlds themselves (apps/studio/public/templates/worlds/) are the source.

Licence

geometry that Aether's own generators produce from the template worlds;
GLSL shader source that three.js (MIT) generates for those materials.

They contain no textures, models, sounds or other third-party media. The library assets a world uses (CC0-1.0, CC-BY-4.0 with credit, or MIT, listed in docs/THIRD_PARTY.md) are loaded from the Aether site, not from this dataset.

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