Pixel-based Pre-training (PixelGPT)
Collection
[EMNLP'24] [Autoregressive Pre-Training on Pixels and Texts](https://arxiv.org/pdf/2404.10710).
•
6 items
•
Updated
Error code: StreamingRowsError Exception: CastError Message: Couldn't cast jsonl: binary __key__: string __url__: string gz: null to {'gz': Value(dtype='binary', id=None), '__key__': Value(dtype='string', id=None), '__url__': Value(dtype='string', id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, 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 2270, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1888, in _iter_arrow pa_table = cast_table_to_features(pa_table, self.features) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2215, in cast_table_to_features raise CastError( datasets.table.CastError: Couldn't cast jsonl: binary __key__: string __url__: string gz: null to {'gz': Value(dtype='binary', id=None), '__key__': Value(dtype='string', id=None), '__url__': Value(dtype='string', id=None)} because column names don't match
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This repository contains the rendered GLUE dataset evaluated in the paper Autoregressive Pre-Training on Pixels and Texts (EMNLP 2024). For detailed instructions on how to use the model, please visit our GitHub page.
@misc{chai2024autoregressivepretrainingpixelstexts,
title = {Autoregressive Pre-Training on Pixels and Texts},
author = {Chai, Yekun and Liu, Qingyi and Xiao, Jingwu and Wang, Shuohuan and Sun, Yu and Wu, Hua},
year = {2024},
eprint = {2404.10710},
archiveprefix = {arXiv},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2404.10710},
}