TypeError via loading the dataset
#1
by
teasgen
- opened
I'm trying to load this dataset and save to disk, but it fails with error:
Saving the dataset (0/122 shards): 0%| | 0/3563 [00:24<?, ? examples/s]
Traceback (most recent call last):
File "/home/teasgen/mmmu/script.py", line 4, in <module>
dataset.save_to_disk("winogavil")
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1530, in save_to_disk
for job_id, done, content in Dataset._save_to_disk_single(**kwargs):
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1563, in _save_to_disk_single
writer.write_table(pa_table)
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/arrow_writer.py", line 575, in write_table
pa_table = embed_table_storage(pa_table)
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 2310, in embed_table_storage
arrays = [
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 2311, in <listcomp>
embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name]
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 1834, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 1834, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 2200, in embed_array_storage
return pa.ListArray.from_arrays(array.offsets, _e(array.values, feature[0]))
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 1836, in wrapper
return func(array, *args, **kwargs)
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/table.py", line 2180, in embed_array_storage
return feature.embed_storage(array)
File "/home/teasgen/miniconda3/envs/vlm_eval/lib/python3.10/site-packages/datasets/features/image.py", line 276, in embed_storage
storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null())
File "pyarrow/array.pxi", line 3205, in pyarrow.lib.StructArray.from_arrays
File "pyarrow/array.pxi", line 3645, in pyarrow.lib.c_mask_inverted_from_obj
TypeError: Mask must be a pyarrow.Array of type boolean
Code to reproduce:
import datasets
dataset = datasets.load_dataset("nlphuji/winogavil", split="test")
dataset.save_to_disk("winogavil")
How can I fix it?
Thanks for your interest. I see (and also tried myself now) that the dataset is being loaded, however the "save_to_disk" seem to fail.
I think it's a limitations of huggingface datasets in saving dataset that includes multiple images.
I suggest to ask someone from the huggingface team.
@severo
, any idea who can we ask? Thank you.
also cc @lhoestq @albertvillanova (I'm off for one week)
Maybe this PR will fix the issue ? cc @mariosasko