Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
                  raise ValueError(
              ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
              
              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(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                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.

Image Transformation Sequences

🎬 CLICK THE PREVIEW IMAGE BELOW TO OPEN THE VIDEO

Transformation Sequence Preview

Click the preview image above to open the example WebM video.

A collection of video sequences showing photographs evolving through structured visual transformations over time.

Each example contains:

  • Original source imagery
  • A transformation sequence rendered as video
  • Multiple stages of visual evolution within a single clip
  • Self-contained examples suitable for viewing, analysis, and research

Dataset Overview

This dataset is designed for studying visual change over time from a fixed source image set.

Each video begins with original imagery and progresses through a sequence of evolving visual states before reaching a transformed final composition.

The dataset focuses on:

  • Temporal visual evolution
  • Image-to-sequence relationships
  • Multi-stage transformation processes
  • Video-based representation learning
  • Visual change analysis

Format

Each record contains:

  • Video (WebM)
  • Optional caption metadata
  • Embedded source imagery within the video presentation

Potential Uses

  • Video understanding
  • Temporal representation learning
  • Transformation tracking
  • Sequence modeling
  • Visual retrieval
  • Dataset visualization
  • Human evaluation studies

Dataset Structure

videos/
β”œβ”€β”€ sample_0001.webm
β”œβ”€β”€ sample_0002.webm
β”œβ”€β”€ sample_0003.webm
└── ...

metadata.jsonl
README.md
LICENSE

Example JSONL record:

{
  "video": "videos/sample_0001.webm",
  "caption": "Image transformation sequence"
}

Notes

The dataset is intended as a collection of transformation sequences rather than a collection of independent images.

Source imagery and transformed states are presented together within each video to provide visual context while maintaining a compact, self-contained format.

The repository focuses on the resulting transformation sequences and does not require access to the production workflow used to create them.

License

This dataset is released under the Apache License 2.0.

You are free to:

  • Use the dataset for research and commercial purposes
  • Modify and adapt the dataset
  • Distribute copies and derivative works
  • Incorporate the dataset into larger projects and workflows

Users must comply with the terms of the Apache 2.0 license, including preservation of required notices and attribution where applicable.

For full license details, see the LICENSE file included with this repository.

Citation

If you use this dataset in research, publications, benchmarks, or derivative works, please cite the repository and the dataset version used.

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