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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Mask must be a pyarrow.Array of type boolean
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1634, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 609, in write_batch
self.write_table(pa_table, writer_batch_size)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 624, in write_table
pa_table = embed_table_storage(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2270, in embed_table_storage
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2271, in <listcomp>
embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2140, in embed_array_storage
return feature.embed_storage(array)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 283, in embed_storage
storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null())
File "pyarrow/array.pxi", line 3257, in pyarrow.lib.StructArray.from_arrays
File "pyarrow/array.pxi", line 3697, in pyarrow.lib.c_mask_inverted_from_obj
TypeError: Mask must be a pyarrow.Array of type boolean
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1648, in _download_and_prepare
super()._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
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Stable Diffusion 3 Images
A dataset of 1:1 images generated by Stable Diffusion 3, through glif.app.
Find the prompts in prompts.json, they correspond to the image based on number, for example the first element in the JSON array is x, then the image you're looking for is 0.jpg, and so on.
Prompts sourced from MohamedRashad/midjourney-detailed-prompts.
Data
You can find enhanced images by Gigapixel AI in the enhanced folder; these are the same 1024x1024 quality, but reduce artifacts and improve color.
Upscaled images are avaliable at upscaled-xx.
Upscaled and enhanced images are in lossless TIFF format.
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