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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError Exception: UnimplementedError Message: {{function_node __wrapped__IteratorGetNext_output_types_1_device_/job:localhost/replica:0/task:0/device:CPU:0}} File system scheme 'https' not implemented (file: 'https://github.com/google-research-datasets/uibert/raw/main/ref_exp/train.tfrecord') [Op:IteratorGetNext] Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 258, in get_rows_or_raise return get_rows( File "/src/services/worker/src/worker/utils.py", line 199, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 236, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1379, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 233, in __iter__ yield from self.generate_examples_fn(**self.kwargs) File "/tmp/modules-cache/datasets_modules/datasets/ivelin--ui_refexp/6e51a3810e469a0415cbce80e07e89edb290be3ff2b73e63f68abf57da6d8ce1/ui_refexp.py", line 218, in _generate_examples metadata = tfrecord2list(metadata_file) File "/tmp/modules-cache/datasets_modules/datasets/ivelin--ui_refexp/6e51a3810e469a0415cbce80e07e89edb290be3ff2b73e63f68abf57da6d8ce1/ui_refexp.py", line 74, in tfrecord2list for raw_record in raw_tfr_dataset: File "/src/services/worker/.venv/lib/python3.9/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 797, in __next__ return self._next_internal() File "/src/services/worker/.venv/lib/python3.9/site-packages/tensorflow/python/data/ops/iterator_ops.py", line 780, in _next_internal ret = gen_dataset_ops.iterator_get_next( File "/src/services/worker/.venv/lib/python3.9/site-packages/tensorflow/python/ops/gen_dataset_ops.py", line 3016, in iterator_get_next _ops.raise_from_not_ok_status(e, name) File "/src/services/worker/.venv/lib/python3.9/site-packages/tensorflow/python/framework/ops.py", line 7262, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.UnimplementedError: {{function_node __wrapped__IteratorGetNext_output_types_1_device_/job:localhost/replica:0/task:0/device:CPU:0}} File system scheme 'https' not implemented (file: 'https://github.com/google-research-datasets/uibert/raw/main/ref_exp/train.tfrecord') [Op:IteratorGetNext]
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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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