Datasets:

luh0502
/

acid-wds

Tasks:

Image-to-3D

Size:

Tags:

Libraries:

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

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.

ACID (WebDataset)

ACID (Aerial Coastline Imagery Dataset) camera trajectories and frames, in the pixelSplat chunk release, repacked as random-access WebDataset shards.

Every file in this repository was verified against the source copy (same file set, same byte sizes).

split	scenes	shards	size
train	11,069	39	111 GB
validation	2,455	9	24 GB
test	1,972	12	34 GB

Format

WebDataset tar shards (about 3 GB each), one tar row per scene, indexed for random access with ultar .utix files (msgpack rows of entry keys, offsets and sizes, so they can be read without ultar). Every scene row holds:

Entry	Content
`<key>.meta.json`	scene key, split, source video URL, `n_frames`, `width`, `height`, source chunk and its sha256
`<key>.cameras.npy`	`(N, 18)` float32, unchanged from the source chunk: `[fx/W, fy/H, cx/W, cy/H, 0, 0, w2c[:3, :4]]`, OpenCV convention
`<key>.timestamps.npy`	`(N,)` int64 video timestamps in microseconds, unchanged
`<key>.<i:05d>.jpg`	the original JPEG bytes, unchanged; `i` is the frame's position in camera order

Beside each shard:

<shard>.tar.utix — the ultar row index (offsets and sizes of every entry).
<shard>.tar.centres.bin — float32 camera centres per frame per scene (a small sidecar used for farthest-point view sampling); header DPFV, then a per-scene offset table in index row order.
<split>/index.json maps every scene key to its shard; splits/<split>.txt lists the keys; splits/excluded.jsonl lists scenes that could not be converted (empty for this release).

Nothing is re-encoded: frames, cameras and timestamps are byte-identical to the source chunks, so results computed on these shards match results computed on the original .torch chunks.

Source, license and copyright

This repository is a format conversion (WebDataset/ultar) of a publicly released dataset; it adds no new images. Please cite and follow the terms of the original work:

ACID: A. Liu et al., Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image, ICCV 2021 — https://infinite-nature.github.io/
Source chunks: the pixelSplat release, mirrored at https://huggingface.co/datasets/lhmd/acid_torch; one test chunk (test/000025.torch, damaged there) was taken from https://huggingface.co/datasets/Sensen02/ACID_PixelSplat
The camera trajectories and video lists are released by the original authors under their own terms (see the links above).
The frames come from third-party online videos and remain the copyright of their owners. They are provided here, as in the source chunk repository, for non-commercial research use only.
The conversion code layer (this packaging) is released under the MIT license, matching the source chunk repository.

Removal requests. If you own content in this dataset and want it removed, please open a discussion on this repository; affected scenes will be removed promptly.

Citation

Please cite the original dataset:

@inproceedings{liu2021infinite,
  title     = {Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image},
  author    = {Liu, Andrew and Tucker, Richard and Jampani, Varun and Makadia, Ameesh and Snavely, Noah and Kanazawa, Angjoo},
  booktitle = {ICCV},
  year      = {2021}
}

Downloads last month: 278

Total file size:

181 GB