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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
yield from cls._iter_tar(f)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
stream = tarfile.open(fileobj=f, mode="r|*")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
t = cls(name, filemode, stream, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
self.firstmember = self.next()
^^^^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
raise ReadError(str(e)) from None
tarfile.ReadError: invalid header
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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.
How2Sign ResNet50 + MediaPipe 30-Pose Features
This repository contains pre-extracted feature archives derived from the How2Sign dataset for sign language translation and related multimodal sequence modeling tasks.
The current upload includes compressed split archives in .tar.zst format:
how2sign_train_frontal_features.tar.zsthow2sign_train_side_features.tar.zsthow2sign_val_frontal_features.tar.zst
These archives are intended to serve as downloadable preprocessed inputs for training and evaluation pipelines, rather than as a row-based Hugging Face datasets table.
Dataset Summary
This is a derived feature dataset built from the original How2Sign corpus.
It packages precomputed ResNet50 visual features together with MediaPipe pose-based features for selected How2Sign splits and camera views.
The dataset is meant for workflows such as:
- sign language translation
- sign language recognition
- multimodal sequence modeling
- feature-based training pipelines
- experiments comparing frontal and side views
Source Dataset
The original data comes from How2Sign, a large-scale multimodal and multiview continuous American Sign Language (ASL) dataset introduced by Duarte et al. (CVPR 2021).
If you use this repository, please also cite the original How2Sign dataset paper.
What is Included
This release currently contains the following archives:
- Train / frontal view feature archive
- Train / side view feature archive
- Validation / frontal view feature archive
Each archive contains preprocessed feature files extracted from the corresponding split/view of the source videos.
Format
Files are distributed as compressed tar archives:
- format:
.tar.zst
This format is intended for efficient storage and transfer of many precomputed feature files.
Intended Use
This repository is intended for research and educational use, especially for:
- training sign language translation models
- training feature-based multimodal models
- avoiding repeated feature extraction on the raw How2Sign videos
- reproducible experiments using fixed precomputed inputs
Notes
- This repository contains derived features, not the raw How2Sign videos.
- Text annotations, metadata tables, and training scripts are not necessarily included unless uploaded separately.
- Users should ensure their use remains consistent with the original How2Sign license and terms of use.
License
This repository is derived from the How2Sign dataset.
The original How2Sign dataset is released under CC BY-NC 4.0 for non-commercial research use.
Please consult the original dataset terms and provide proper attribution to the original authors.
Citation
Original How2Sign paper
@InProceedings{Duarte_2021_CVPR,
author = {Duarte, Amanda and Palaskar, Shruti and Ventura, Lucas and Ghadiyaram, Deepti and DeHaan, Kenneth and Metze, Florian and Torres, Jordi and Giro-i-Nieto, Xavier},
title = {How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {2735-2744}
}
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