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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

[More Information Needed]

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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