Dataset Viewer
Duplicate
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:    TypeError
Message:      Couldn't cast array of type
struct<d428c4aac0d20851804: string, b211cd7c016254ed26df: string, fc7e3cceef8eba2b7c5: string, d339e7e99ab77c20ed3: string, a43a1edf8b2ab87c618: string, d64041e992fde39846f: string, e0f88ae9677fb0547dd: string, cb3b7b5dd34babd41061: string, e248c1142b87928d911: string, d26ad5f7e779a7463781: string, 1aa50d12bc0aebe160a: string, 263c2da5a81451f8585: string, 9c28fec095a0f90564b: string, ccd579a9c1c4f91a1f2a: string, b2e30d9a9ce1179fe3f: string, de78e3b8b7bdcf81ddf9: string, c85a3c6e60875013d3f: string, 0be7ce006e804cf9cd27: string, f5ae47929758a157d2f: string, 1c167fd50bb9eeaab3c4: string, 7a6a0721d7abfa98b3ad: string, 063e64b5d034687ce15: string, a64b1a0d8a116044d9f5: string, 847b5e833fbf3b74cee: string, ec608e8c36d045d9c495: string, e08f4250089c8299c495: string, 04b9983d8d2dc4f8bf5: string, c45499fcda5cb88da60f: string, 303200c6d89a4ce1a5f8: string, eb31194b06325908cf0: string, b3896e751a597bf2acba: string, ae7f6997e524a472e3f: string, 5e9a671ab0d09a65dfde: string, f17b662d06529910e15: string, bb2c43ad845a5d12d7e6: string, 8032ef625a186bf1e76: string, 92aa7df9f990a75cd80f: string, 24947f59ad3e27fcd3b: string, 6b297b2e56778ee1c514: string, 68b2fa876125b7c6d97: string, 082b8c6f9e45ea86cbe1: string, 110c13e20e75b20bd73: string, 7df061c042f6f555b1df: string, d7acb78ad5bcc63f12db: string, 59b7d3c62ba1af4d3bf0: string, 9a12e8900dfab8a31346: string, 98acdb5191d1b0883f13: string, 9e52b452856abd2d9a0: string, 38c867307b7cbcc93989: string, 2c03484271090397929: string, 2b4ca05b6bf5b23439
...
7f4e4b152d9b4e6299e2: string, 4faa3ad0d5ba2b33cca: string, bc7f62063c2dceb1aac0: string, 0587f742a26e6eebbd1: string, eb5acee5054bef668c40: string, a415d17c2f9c2803ccc: string, 8b2dd99dc8d841c092e5: string, af4caf25ef19dc30e1b: string, 3dd9b900614cf1bfc5d6: string, ce884e197b4a1fa2b92: string, afbdcfaccdd699cdc407: string, d4378d6cb8a4f099bd3: string, f9978611689bb4f0b343: string, 71dffcf8758c6419d19: string, 21ff32100526ca19b39d: string, f48233ce04ae7d97d2f: string, 2cea561fd128ba20b3f6: string, a406311d27d5f5f8df1: string, e638f69f3a67c7acbdde: string, 8bb4ca3b6430f44ecb9: string, c51e829e5fcfdfadd75e: string, 79ccedd7e622dbf2cb9: string, 8ee358a45a25ea29d96b: string, 716a8c7fa505fff0e52: string, d3f8ab1f84a9cf46be07: string, 96cc88766fd84b5fd17: string, 8d3304a0682b20afab44: string, c11ecd23e5b30968f02: string, a6185168cd5a6f39b3b1: string, 3887b824333e1387eae: string, 36e094247a235301afd3: string, 953bface912354a3e83: string, f0f546824a0fabdbaddd: string, 3a0677c12fb58952f18: string, 2e5e285bc684b2bcb40a: string, ec04cc704da9afd7de0: string, caa11ed5f88b04daa61c: string, 441c070c01db36e5e6f: string, 973d47ca83096c87a833: string, e97d0b380542f4b55a3: string, f747f43cc9dee9a5433: string, ad4eea1e086120477d9: string, fd64f8c6717b6c3f433: string, 6782e102f05d5581710: string, 044453aa8c57a5932347: string, 6118a1b4c7b2d7df62e: string, f8cf3fec82d638cf62c: string, e3b48fd77f8c7022643: string, 90bb7122fb01c807683: string, 7099ebe9b86d0c16b94: string, 00bd10eed74aae5dac2c: string>
to
{'64bd030636d6511760d': Value('string'), '4da656a1fa5028a6f12': Value('string'), 'fc7e3cceef8eba2b7c5': Value('string'), 'd339e7e99ab77c20ed3': Value('string'), 'a43a1edf8b2ab87c618': Value('string'), 'd64041e992fde39846f': Value('string'), 'e0f88ae9677fb0547dd': Value('string'), 'cb3b7b5dd34babd41061': Value('string'), 'e248c1142b87928d911': Value('string'), 'cb0f41c17e9276a43781': Value('string'), '23db9e6efe92fec937a6': Value('string'), '1aa50d12bc0aebe160a': Value('string'), '263c2da5a81451f8585': Value('string'), '9c28fec095a0f90564b': Value('string'), '112147abb9a263001f32': Value('string'), '6e6606f4f3b2a093ef2': Value('string'), 'c973e00f75192fc0e526': Value('string'), '67c8ad845848bc71d3f': Value('string'), '5e4348ddeedcffc8cd27': Value('string'), '3a5d10fea65b1741dda': Value('string'), '685a59794cf8b536bade': Value('string'), 'fda52e6903ab25f0bac7': Value('string'), '58b3fd025430abddec6': Value('string'), 'd45ab0963c5a48d7e11d': Value('string'), 'a18bb1ca7ee6032bd99': Value('string'), 'a7f5d9e28d7fdc2bcbaf': Value('string'), '7dc817b6e1701c03cbaf': Value('string'), '774a568dac85abe6ca0': Value('string'), '64bd5839c9822734ad29': Value('string'), '2773d0e9158f8d4aad12': Value('string'), 'a149228a05b0f53fd9b': Value('string'), '51699d1359f5e580b3d4': Value('string'), '73d0f37d86d54fa2ef2': Value('string'), '09dbde20a6e05465e70b': Value('string'), 'a75cb40acd7579d9ec6': Value('string'), '0cbafb3ffacea47cdf0e': Value('string'), '03a4e7954dbcf658f27': Value('string'), '3a
...
ing'), 'd86aa8157cc5c1b0af9d': Value('string'), 'e79b72ea1ea7cd7bf59': Value('string'), '8b5a2a7433e83ee5b73d': Value('string'), 'd79c465e81f4f899f2e': Value('string'), 'e76468d1ab0f19ecb547': Value('string'), '74dfbc438d433760dc2': Value('string'), 'f4a778bb74fda2eeb2a9': Value('string'), '50c496c0b71631bbde6': Value('string'), '3fb78dd8036191cfcc7e': Value('string'), '8759b95db613e8c8fc3': Value('string'), '4e02518ac3a7e675bb74': Value('string'), '55f06739e84b378adda': Value('string'), 'e00c227a34928d99bb60': Value('string'), '34dee45421445b5bef2': Value('string'), 'b2520e3a8f29239fe54b': Value('string'), 'c24fb3a72a5a8b1ad3f': Value('string'), '555cb48de131fe40cd77': Value('string'), '66a5fddcf48b01d16d9': Value('string'), 'bfc7480a74f7aabdf10': Value('string'), '078f2350d3223a35681': Value('string'), 'b3c55da397183bdeb6b': Value('string'), '6a92b2865524b69bb11': Value('string'), 'b0ce2be2c0e1d7bdac0': Value('string'), 'b31a96151adfbe24a65': Value('string'), '5dac3077eafb1f32a0f': Value('string'), 'a505e9526a6a019d61a': Value('string'), '6ae93ba7bc0bec2e57d': Value('string'), '74801ba27ca60bd772f': Value('string'), 'f1c9029221f016211288': Value('string'), 'e281d9a2765049c9744': Value('string'), '94e921a2e636874724c3': Value('string'), 'f4615ba78b3f3544ec6': Value('string'), '1fd835a3624341ecdf5e': Value('string'), '5ad3bf95fd2dd572ec6': Value('string'), 'bd26102439889db5e16d': Value('string'), '69667be99eb2385eef2': Value('string'), '09827f166ed40b8fe4fb': Value('string')}
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 2315, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<d428c4aac0d20851804: string, b211cd7c016254ed26df: string, fc7e3cceef8eba2b7c5: string, d339e7e99ab77c20ed3: string, a43a1edf8b2ab87c618: string, d64041e992fde39846f: string, e0f88ae9677fb0547dd: string, cb3b7b5dd34babd41061: string, e248c1142b87928d911: string, d26ad5f7e779a7463781: string, 1aa50d12bc0aebe160a: string, 263c2da5a81451f8585: string, 9c28fec095a0f90564b: string, ccd579a9c1c4f91a1f2a: string, b2e30d9a9ce1179fe3f: string, de78e3b8b7bdcf81ddf9: string, c85a3c6e60875013d3f: string, 0be7ce006e804cf9cd27: string, f5ae47929758a157d2f: string, 1c167fd50bb9eeaab3c4: string, 7a6a0721d7abfa98b3ad: string, 063e64b5d034687ce15: string, a64b1a0d8a116044d9f5: string, 847b5e833fbf3b74cee: string, ec608e8c36d045d9c495: string, e08f4250089c8299c495: string, 04b9983d8d2dc4f8bf5: string, c45499fcda5cb88da60f: string, 303200c6d89a4ce1a5f8: string, eb31194b06325908cf0: string, b3896e751a597bf2acba: string, ae7f6997e524a472e3f: string, 5e9a671ab0d09a65dfde: string, f17b662d06529910e15: string, bb2c43ad845a5d12d7e6: string, 8032ef625a186bf1e76: string, 92aa7df9f990a75cd80f: string, 24947f59ad3e27fcd3b: string, 6b297b2e56778ee1c514: string, 68b2fa876125b7c6d97: string, 082b8c6f9e45ea86cbe1: string, 110c13e20e75b20bd73: string, 7df061c042f6f555b1df: string, d7acb78ad5bcc63f12db: string, 59b7d3c62ba1af4d3bf0: string, 9a12e8900dfab8a31346: string, 98acdb5191d1b0883f13: string, 9e52b452856abd2d9a0: string, 38c867307b7cbcc93989: string, 2c03484271090397929: string, 2b4ca05b6bf5b23439
              ...
              7f4e4b152d9b4e6299e2: string, 4faa3ad0d5ba2b33cca: string, bc7f62063c2dceb1aac0: string, 0587f742a26e6eebbd1: string, eb5acee5054bef668c40: string, a415d17c2f9c2803ccc: string, 8b2dd99dc8d841c092e5: string, af4caf25ef19dc30e1b: string, 3dd9b900614cf1bfc5d6: string, ce884e197b4a1fa2b92: string, afbdcfaccdd699cdc407: string, d4378d6cb8a4f099bd3: string, f9978611689bb4f0b343: string, 71dffcf8758c6419d19: string, 21ff32100526ca19b39d: string, f48233ce04ae7d97d2f: string, 2cea561fd128ba20b3f6: string, a406311d27d5f5f8df1: string, e638f69f3a67c7acbdde: string, 8bb4ca3b6430f44ecb9: string, c51e829e5fcfdfadd75e: string, 79ccedd7e622dbf2cb9: string, 8ee358a45a25ea29d96b: string, 716a8c7fa505fff0e52: string, d3f8ab1f84a9cf46be07: string, 96cc88766fd84b5fd17: string, 8d3304a0682b20afab44: string, c11ecd23e5b30968f02: string, a6185168cd5a6f39b3b1: string, 3887b824333e1387eae: string, 36e094247a235301afd3: string, 953bface912354a3e83: string, f0f546824a0fabdbaddd: string, 3a0677c12fb58952f18: string, 2e5e285bc684b2bcb40a: string, ec04cc704da9afd7de0: string, caa11ed5f88b04daa61c: string, 441c070c01db36e5e6f: string, 973d47ca83096c87a833: string, e97d0b380542f4b55a3: string, f747f43cc9dee9a5433: string, ad4eea1e086120477d9: string, fd64f8c6717b6c3f433: string, 6782e102f05d5581710: string, 044453aa8c57a5932347: string, 6118a1b4c7b2d7df62e: string, f8cf3fec82d638cf62c: string, e3b48fd77f8c7022643: string, 90bb7122fb01c807683: string, 7099ebe9b86d0c16b94: string, 00bd10eed74aae5dac2c: string>
              to
              {'64bd030636d6511760d': Value('string'), '4da656a1fa5028a6f12': Value('string'), 'fc7e3cceef8eba2b7c5': Value('string'), 'd339e7e99ab77c20ed3': Value('string'), 'a43a1edf8b2ab87c618': Value('string'), 'd64041e992fde39846f': Value('string'), 'e0f88ae9677fb0547dd': Value('string'), 'cb3b7b5dd34babd41061': Value('string'), 'e248c1142b87928d911': Value('string'), 'cb0f41c17e9276a43781': Value('string'), '23db9e6efe92fec937a6': Value('string'), '1aa50d12bc0aebe160a': Value('string'), '263c2da5a81451f8585': Value('string'), '9c28fec095a0f90564b': Value('string'), '112147abb9a263001f32': Value('string'), '6e6606f4f3b2a093ef2': Value('string'), 'c973e00f75192fc0e526': Value('string'), '67c8ad845848bc71d3f': Value('string'), '5e4348ddeedcffc8cd27': Value('string'), '3a5d10fea65b1741dda': Value('string'), '685a59794cf8b536bade': Value('string'), 'fda52e6903ab25f0bac7': Value('string'), '58b3fd025430abddec6': Value('string'), 'd45ab0963c5a48d7e11d': Value('string'), 'a18bb1ca7ee6032bd99': Value('string'), 'a7f5d9e28d7fdc2bcbaf': Value('string'), '7dc817b6e1701c03cbaf': Value('string'), '774a568dac85abe6ca0': Value('string'), '64bd5839c9822734ad29': Value('string'), '2773d0e9158f8d4aad12': Value('string'), 'a149228a05b0f53fd9b': Value('string'), '51699d1359f5e580b3d4': Value('string'), '73d0f37d86d54fa2ef2': Value('string'), '09dbde20a6e05465e70b': Value('string'), 'a75cb40acd7579d9ec6': Value('string'), '0cbafb3ffacea47cdf0e': Value('string'), '03a4e7954dbcf658f27': Value('string'), '3a
              ...
              ing'), 'd86aa8157cc5c1b0af9d': Value('string'), 'e79b72ea1ea7cd7bf59': Value('string'), '8b5a2a7433e83ee5b73d': Value('string'), 'd79c465e81f4f899f2e': Value('string'), 'e76468d1ab0f19ecb547': Value('string'), '74dfbc438d433760dc2': Value('string'), 'f4a778bb74fda2eeb2a9': Value('string'), '50c496c0b71631bbde6': Value('string'), '3fb78dd8036191cfcc7e': Value('string'), '8759b95db613e8c8fc3': Value('string'), '4e02518ac3a7e675bb74': Value('string'), '55f06739e84b378adda': Value('string'), 'e00c227a34928d99bb60': Value('string'), '34dee45421445b5bef2': Value('string'), 'b2520e3a8f29239fe54b': Value('string'), 'c24fb3a72a5a8b1ad3f': Value('string'), '555cb48de131fe40cd77': Value('string'), '66a5fddcf48b01d16d9': Value('string'), 'bfc7480a74f7aabdf10': Value('string'), '078f2350d3223a35681': Value('string'), 'b3c55da397183bdeb6b': Value('string'), '6a92b2865524b69bb11': Value('string'), 'b0ce2be2c0e1d7bdac0': Value('string'), 'b31a96151adfbe24a65': Value('string'), '5dac3077eafb1f32a0f': Value('string'), 'a505e9526a6a019d61a': Value('string'), '6ae93ba7bc0bec2e57d': Value('string'), '74801ba27ca60bd772f': Value('string'), 'f1c9029221f016211288': Value('string'), 'e281d9a2765049c9744': Value('string'), '94e921a2e636874724c3': Value('string'), 'f4615ba78b3f3544ec6': Value('string'), '1fd835a3624341ecdf5e': Value('string'), '5ad3bf95fd2dd572ec6': Value('string'), 'bd26102439889db5e16d': Value('string'), '69667be99eb2385eef2': Value('string'), '09827f166ed40b8fe4fb': Value('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.

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

MIT, the same as Aether (© 2026 Aether contributors). The packages contain only:

  • 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.

Downloads last month
-