Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    ReadTimeout
Message:      The read operation timed out
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, 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 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1325, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                      path,
                  ...<5 lines>...
                      cache_dir=cache_dir,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 608, in get_module
                  standalone_yaml_path = cached_path(
                      hf_dataset_url(self.name, config.REPOYAML_FILENAME, revision=self.commit_hash),
                      download_config=download_config,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
                  ).resolve_path(url_or_filename)
                    ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 339, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(parsed.type, parsed.id, revision)
                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 252, in _repo_and_revision_exist
                  self._api.repo_info(
                  ~~~~~~~~~~~~~~~~~~~^
                      repo_id, revision=revision, repo_type=repo_type, timeout=constants.HF_HUB_ETAG_TIMEOUT
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
                  return fn(*args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3598, in repo_info
                  return method(
                      repo_id,
                  ...<4 lines>...
                      files_metadata=files_metadata,
                  )
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
                  return fn(*args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3359, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 1053, in get
                  return self.request(
                         ~~~~~~~~~~~~^
                      "GET",
                      ^^^^^^
                  ...<7 lines>...
                      extensions=extensions,
                      ^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 825, in request
                  return self.send(request, auth=auth, follow_redirects=follow_redirects)
                         ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 914, in send
                  response = self._send_handling_auth(
                      request,
                  ...<2 lines>...
                      history=[],
                  )
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 942, in _send_handling_auth
                  response = self._send_handling_redirects(
                      request,
                      follow_redirects=follow_redirects,
                      history=history,
                  )
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 979, in _send_handling_redirects
                  response = self._send_single_request(request)
                File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 1014, in _send_single_request
                  response = transport.handle_request(request)
                File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 249, in handle_request
                  with map_httpcore_exceptions():
                       ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
                  self.gen.throw(value)
                  ~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
                  raise mapped_exc(message) from exc
              httpx.ReadTimeout: The read operation timed out

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.

Datenset zur Implementierung von Einzelgebärdenerkennung für Gebärden der Deutschen Gebärdensprache

Dataset Summary

This dataset consists of short video clips and pose estimation outputs capturing individual signs from German Sign Language (Deutsche Gebärdensprache, DGS). It is designed for training and evaluating models on isolated sign recognition tasks. The dataset includes both raw video data and .pev files, which adhere to the pose-estimation-recognition-utils V1.0 format.

Contents

  • Videos of isolated signs in two versions:
    • A standard 5-second version
    • A trimmed version (≥2 seconds) focused on the signing motion, optionally stretched to meet training length requirements
  • Pose estimation files (.pev) in standardized format
    • from rtmlib by FHSWF (skeleton)
    • old data from created with mediapipe (skeleton-mediapipe)

The dataset merges two previously separate sources, which results in some duplicated glosses with different IDs.

Here is the list of all signs with their associated IDs (merged by meaning):

Sign IDs
a 39
b 40
c 41
d 42
e 43
f 44
g 45
h 46
i 47
j 48
k 49
l 50
m 51
n 52
o 53
p 54
q 55
r 56
s 57
t 58
u 59
v 60
w 61
x 62
y 63
z 64
ä 65
ö 66
ü 67
ß 68
sch 69
ch 32
aa 33
ee 34
verstanden 35
nochmal 36
weiter 37
Ende 38

Speakers and Splits

  • Speakers 2, 4, 6, and 11 are intended for validation and testing only.
  • Speaker identity mapping:
    • 1 ≈ 2
    • 3 ≈ 4
    • 5 ≈ 6
  • Not all signs are performed by every speaker.

Annotation Quality

All annotations and video data have been reviewed and verified by a fluent signer of German Sign Language.

Applications

  • Video classification (Isolated sign recognition)
  • Pose-based recognition using 2D body keypoints
  • Data-efficient training and evaluation of models for gesture/action recognition in sign language

License

This project is published under MIT-license.

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