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language: |
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- en |
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- ja |
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- zh |
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- fr |
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- ru |
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- ar |
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- hi |
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license: apache-2.0 |
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pretty_name: Pixel-XNLI |
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--- |
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<a href="https://2024.emnlp.org/" target="_blank"> <img alt="EMNLP 2024" src="https://img.shields.io/badge/Proceedings-EMNLP2024-red" /> </a> |
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# Dataset Card for rendered XNLI |
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<!-- Provide a quick summary of the dataset. --> |
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This repository contains the rendered XNLI dataset evaluated in the paper [Autoregressive Pre-Training on Pixels and Texts (EMNLP 2024)](https://arxiv.org/pdf/2404.10710). For detailed instructions on how to use the model, please visit our [GitHub page](https://github.com/ernie-research/pixelgpt/). |
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## Citation |
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``` |
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@misc{chai2024autoregressivepretrainingpixelstexts, |
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title = {Autoregressive Pre-Training on Pixels and Texts}, |
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author = {Chai, Yekun and Liu, Qingyi and Xiao, Jingwu and Wang, Shuohuan and Sun, Yu and Wu, Hua}, |
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year = {2024}, |
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eprint = {2404.10710}, |
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archiveprefix = {arXiv}, |
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primaryclass = {cs.CL}, |
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url = {https://arxiv.org/abs/2404.10710}, |
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} |
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``` |
