Datasets:

VideoGUI
/

VideoGUI-High-Plan

Dataset card Files Files and versions Community

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 229, in _split_generators
                  raise ValueError(
              ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) 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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, 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.

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Dataset Card for VideoGUI-High-Plan

This is the High Planning part of VideoGUI benchmark.

We uploaded the full metadata, recording at Google Drive.

Examples

Here, we provide several examples.

App	Task_id	Visual_start	Fulltask_query	Subtask_sequence
StableDiffusion-WebUI	SD_10		Replace the 512512 photo of a cat to a 720720 photo of dragon.	[ "Open img2img Tool and drag photo of cat into the file upload box", "Put \"image of a dragon\" into prompt box", "Put \"cartoon\" into negative prompt box", "Set \"Sampling method\" to \"DPM++ 2M Karras\"", "Set Width to 720 and Height to 720", "Set Sampling steps to 25, Batch Size to 4 and CFG Scale to 4", "Generate the image;" ]
Adobe After Effects	AE_19		Animate the car to move along the path with auto orientation.	[ "add trajectory on the road", "add effect to the red car", "add auto orientation for the red car;" ]
Adobe PhotoShop	PS_46		Select and isolate the subject from 'Kid_splash.jpg', transfer her to a new project, and customize text and background before exporting as 'photo thumbnail.jpg.	[ "‘Open’ an image named ‘Kid_splash.jpg’ and choose ‘Object Selection tool’ to select the subject. It automatically chooses the girl in the image. ‘Right click’ the girl and ‘Layer Via Copy’. ‘Unsee’ the background. Open the file to rename, and finally save the project named ‘Kid_splash1.psd’", "Create a new project -HDTV 1080P named ‘photo thumbnail’, change the background color by filling in the foreground color. Add a new text box by choosing ‘Horizontal Title Tool’ and change the text into ‘photoshop for beginners’. Choose the former project and drag the girl object into the new project. ‘Zoom’ out and ‘scale’ the girl to put the girl in the left of the project", "Export the project named ‘photo thumbnail.jpg’ and save it in the local file folder." ]
Runway	RW_9	N/A	Create a video about 'A man in a dark green jacket stands in the center of a futuristic industrial setting with yellow machines and monitors, under bright overhead lights, creating a cinematic portrait effect' with the dolly zoom effect.	[ "Open Text/Image to Video Tool", "Generate preview picture with text \"A man in a dark green jacket stands in the center of a futuristic industrial setting with yellow machines and monitors, under bright overhead lights, creating a cinematic portrait effect.", "Select the third image as the image input", "Adjust camera settings. Set Zoom to -3", "Select the background in Motion Brush. Set its Proximity to 10", "Select the subject in Motion Brush. Set its Proximity to 2", "Generate the video;" ]

Data Fields

"app" (str): The name of the software being used.
"task_id" (str): A unique identifier for each full task, typically corresponding to the video or task ID.
"visual_query_start" (str): The visual preview at the start of the full task. It is a URL to access an image or video.
"visual_query_end" (str): The visual preview at the end of the full task. It is a URL to access an image or video.
"fulltask_query" (str): The full task texutal description that guides the entire complex task.
"subtask_sequence" (str): The sequence of subtasks (milestone), represented as a subtask procedural sequence.

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