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Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: ImportError Message: To be able to use ivelin/ui_refexp, you need to install the following dependency: tensorflow. Please install it using 'pip install tensorflow' for instance. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1914, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1880, in dataset_module_factory return HubDatasetModuleFactoryWithScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1504, in get_module local_imports = _download_additional_modules( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 354, in _download_additional_modules raise ImportError( ImportError: To be able to use ivelin/ui_refexp, you need to install the following dependency: tensorflow. Please install it using 'pip install tensorflow' for instance.
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Dataset Card for UIBert
Dataset Summary
This is a Hugging Face formatted dataset derived from the Google UIBert dataset, which is in turn derived from the RICO dataset.
Supported Tasks and Leaderboards
- UI Understanding
- UI Referring Expressions
- UI Action Automation
Languages
- English
Dataset Structure
screenshot
: blob of pixels.prompt
: Prompt referring to a UI component with an optional action verb. For example "click on search button next to menu drawer."target_bounding_box
: Bounding box of targeted UI components.[xmin, ymin, xmax, ymax]
Data Splits
- train: 15K samples
- validation: 471 samples
- test: 565 samples
Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
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