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The split features (columns) cannot be extracted.
Error code:   FeaturesError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/", line 132, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 246, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
              During handling of the above exception, another exception occurred:
              Traceback (most recent call last):
                File "/src/workers/datasets_based/src/datasets_based/workers/", line 475, in compute_first_rows_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 1617, in _resolve_features
                  features = _infer_features_from_batch(self._head())
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 804, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 917, in __iter__
                  for key, example in ex_iterable:
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 658, in __iter__
                  yield from islice(self.ex_iterable, self.n)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 113, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/", line 743, in wrapper
                  for key, table in generate_tables_fn(**kwargs):
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/", line 153, in _generate_tables
                  dataset = json.load(f)
                File "/usr/local/lib/python3.9/json/", line 293, in load
                  return loads(,
                File "/src/workers/datasets_based/.venv/lib/python3.9/site-packages/datasets/download/", line 372, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte

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Dataset Card for 1000 Website Screenshots with Metadata

Dataset Summary

Silatus is sharing, for free, a segment of a dataset that we are using to train a generative AI model for text-to-mockup conversions. This dataset was collected in December 2022 and early January 2023, so it contains very recent data from 1,000 of the world's most popular websites. You can get our larger 10,000 website dataset for free at:

This dataset includes:

High-res screenshots

  • 1024x1024px
  • Loaded Javascript
  • Loaded Images

Text metadata

  • Site title
  • Navbar content
  • Full page text data
  • Page description

Visual metadata

  • Content (images, videos, inputs, buttons) absolute & relative positions
  • Color profile
  • Base font
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