The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: BadZipFile
Message: zipfiles that span multiple disks are not supported
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1215, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1190, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 655, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
~~~~~~~~~~~~~~~~~~~~~~~~~~~^
data_files=data_files,
^^^^^^^^^^^^^^^^^^^^^^
path=self.name,
^^^^^^^^^^^^^^^
download_config=self.download_config,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 309, in infer_module_for_data_files
split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 253, in infer_module_for_data_files_list
return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 280, in infer_module_for_data_files_list_in_archives
f.split("::")[0] for f in xglob(extracted, recursive=True, download_config=download_config)
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1057, in xglob
fs, *_ = url_to_fs(urlpath, **storage_options)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/core.py", line 408, in url_to_fs
fs = filesystem(protocol, **inkwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 303, in filesystem
return cls(**storage_options)
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 81, in __call__
obj = super().__call__(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
~~~~~~~~~~~~~~~^
self.fo,
^^^^^^^^
...<3 lines>...
compresslevel=compresslevel,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1472, in __init__
self._RealGetContents()
~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1535, in _RealGetContents
endrec = _EndRecData(fp)
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 375, in _EndRecData
return _EndRecData64(fpin, filesize - sizeEndCentDir, endrec)
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 303, in _EndRecData64
raise BadZipFile("zipfiles that span multiple disks are not supported")
zipfile.BadZipFile: zipfiles that span multiple disks are not supportedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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Check out the documentation for more information.
Activitynet-QA
The ActivityNet-QA dataset contains 58,000 human-annotated QA pairs on 5,800 videos derived from the popular ActivityNet dataset. The dataset provides a benckmark for testing the performance of VideoQA models on long-term spatio-temporal reasoning.
Splits
train: 32,000 QA pairs on 3,200 videos
val: 18,000 QA pairs on 1,800 videos
test: 8,000 QA pairs on 800 videos
Question Format
All the questions are stored in the *_q.json files. Each entry in the json file is of the following format.
{
"video_name": str,
"question": str,
"question_id": str
}
The video_name field corresponds to the orginal video id in the ActivityNet dataset, the url for this video is https://www.youtube.com/watch?v=<video_name>. The question_id field refer to the unique id for the question in the dataset. The question field contains the questions in English.
Answer Format
All the answers are stored in the *_a.json files. Each entry in the file is of the following format.
{
"answer": str,
"type": int,
"question_id": str
}
The answer field contains the answer with respect to the question with question_id
The type file contains the question or answer types for this question:
Question types: [0].Motion [1].Spatial Relationship [2].Temporal Relationship [3-8].Free
Answer types: [3].Yes/No [4].Color [5].Object [6].Location [7].Number [8].Other
Licence
The code and the dataset are distributed under MIT LICENSE. They are only allowed for non-commercial use.
Citation
If the project are helpful for your research, please cite
@inproceedings{yu2019activityqa,
author = {Yu, Zhou and Xu, Dejing and Yu, Jun and Yu, Ting and Zhao, Zhou and Zhuang, Yueting and Tao, Dacheng},
title = {ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering},
booktitle = {AAAI},
pages = {9127--9134},
year = {2019}
}
license: apache-2.0
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