The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
RE10K-test
The 1,600 RealEstate10K test scenes used for the RE10K evaluation of FineSplat (and 2Xplat), at 640x360, one tar per scene.
tars/test_<id>.tar -> test_<id>/scene_meta.json (cameras, OpenCV convention, one entry per frame)
test_<id>/images/<frame>.png (640x360)
test_scenes.txt the 1,600 scene ids, in evaluation order
eval_ctx6_tgt8.json context / target frame indices per scene (6 context, 8 target views)
scene_meta.json lists, per frame, transform_matrix (camera-to-world), fl_x, fl_y, cx, cy,
w, h and the image path relative to the scene folder.
Usage
hf download HyebinKim/RE10K-test --repo-type dataset --local-dir re10k_test
cd re10k_test && for t in tars/*.tar; do tar xf "$t"; done # -> test_<id>/ folders
Then point data.data_path of the FineSplat RE10K eval configs at a text file listing the
test_<id>/scene_meta.json paths (test_scenes.txt gives the order).
License
RealEstate10K frames are extracted from YouTube videos and are redistributed here for research use only, under the terms of the original RealEstate10K release. If you use this data, cite RealEstate10K (Zhou et al., SIGGRAPH 2018).
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