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The dataset generation failed
Error code: DatasetGenerationError
Exception: SchemaInferenceError
Message: Please pass `features` or at least one example when writing data
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1885, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 606, in finalize
raise SchemaInferenceError("Please pass `features` or at least one example when writing data")
datasets.arrow_writer.SchemaInferenceError: Please pass `features` or at least one example when writing data
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/parquet_and_info.py", line 1392, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1041, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1896, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed 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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Volleyball Video Analytics Dataset
Overview
This dataset is designed to support AI tools for analyzing volleyball games. It contains both raw footage (before processing) and short video snippets with 6 consecutive plays including downtime. GitHub Link
Planned Features 📋
- Auto-Editor: Automatically remove downtime between plays for faster video review.
- Score Tracking: Timestamp key moments and keep an accurate score throughout the video.
- Action-Specific Replays: Replay only the most relevant portions of the video based on specific actions.
- Court Usage Analysis: Understand where the ball is contacted most often during play.
- Player-Specific Statistics: Collect and present performance metrics for individual players.
Our goal is to make video analysis easier for players, coaches, and teams by automating performance review through AI.
Dataset Structure
- raw/: Contains unprocessed, full-length videos.
- snippets/: Contains short clips, each representing 3 consecutive plays including downtime between plays.
- metadata.json: Will contain every snippet and its source, type, date, camera_type, and snippet_index.
- train.txt: List of train snippet file names
- val.txt: List of validation snippet file names
- test.txt: List of test snippet file names
Snippet Metadata
Each snippet includes:
- Type: Game type (indoor, beach, etc.)
- Date: Game date (e.g., YYYYMMDD)
- Camera type: Normal or wide-angle
- Snippet index: A unique number incremented for each new snippet
Example File Name
YouTube_Indoor_20241012_Wide_001.mp4
We welcome contributions! You can submit volleyball game footage, which would improve the tool performance on your videos!
Thanks to everyone contributing videos and labels, and to the volleyball and AI communities for their support!
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