M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark

Yongxin Shi, Chongyu Liu, Dezhi Peng, Cheng Jian, Jiarong Huang, Lianwen Jin. M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{ShiLPJHJ23,
  title = {M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark},
  author = {Yongxin Shi and Chongyu Liu and Dezhi Peng and Cheng Jian and Jiarong Huang and Lianwen Jin},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/f7b424d242cc6bb7708cff241367334d-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/ShiLPJHJ23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}