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 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 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 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.
Douyin Keyword Video Dataset
This dataset contains Douyin short videos collected from keyword search results.
The current upload is organized into batched .tar archives, with about 50 videos per batch.
The videos cover diverse keywords and scenarios, including:
- vlog
- cats
- dogs
- dance
- football
- basketball
- cars
- beauty
- camera movement
- daily life
- food exploration
- and more
Most videos are downloaded in 1080P resolution at 30fps. The dataset will continue to be updated with more keywords, batches, and video categories.
File Organization
Files are stored as batch archives:
batch1_douyin.tar
batch2_douyin.tar
batch3_douyin.tar
...
Each archive contains multiple .mp4 files.
Usage
Download a batch with huggingface_hub:
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="Unknown0911xinyue/Douyin",
repo_type="dataset",
filename="batch1_douyin.tar",
)
print(path)
Extract videos:
import tarfile
with tarfile.open(path, "r") as tar:
tar.extractall("douyin_batch1")
Suggested Viewer
Because videos are stored inside .tar archives, Hugging Face's default Dataset Viewer may not
preview every video directly. A lightweight Gradio Space can be used to browse batch archives,
list videos, and preview selected files.
Data Notes
- Source platform: Douyin
- Format:
.mp4 - Typical resolution: 1080P
- Typical frame rate: 30fps
- Organization: around 50 videos per batch archive
- Update status: actively maintained and continuously updated
Intended Use
This dataset is intended for research and technical exploration around Chinese short videos, video understanding, video retrieval, visual-language modeling, and multimodal dataset tooling.
Users should comply with applicable platform rules, copyright requirements, and local laws.
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