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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:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x93 in position 192: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 90, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 68, 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 2012, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 268, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 830, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 192: invalid start byte

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This dataset features a collection of high-quality images sourced from Pexels and captioned using the Gemini-1.5-Flash API. This dataset is designed to provide accurate, detailed descriptions of various visual content, suitable for text-to-image tasks, training AI models, and more.

Gemini promt: "Describe this image, for a text-to-image train to be accurate, max 74 tokens. (the common theme between these images is '{theme}'), prefer the use of ',' dont use '.' and there is no need to have a point at the end, avoid double spaces, don't forget to label the image with one indication of media examples (count this as 1 token): graphite_(artwork), pencil_(artwork), digital_media_(artwork), digital_media_(photo), digital_media_(photography), digital_media_(illustration), digital_media_(3D_artwork), digital_media_(vector_art), digital_media_(motion_graphics), digital_media_(pixel_art), digital_media_(digital_collage), digital_media_(landscape_photo), digital_media_(portrait_photo), digital_media_(macro_photo), digital_media_(street_photo), digital_media_(aerial_photo), digital_media_(concept_art), digital_media_(character_design), digital_media_(environment_art), digital_media_(digital_painting), digital_media_(web_design), digital_media_(graphic_design), digital_media_(UI_design), digital_media_(game_art), traditional_media_(artwork), sculpture_(artwork)."

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