README.md

metadata

language:
  - en
tags:
  - ace2005
  - mirror
  - information extraction
extra_gated_prompt: >-
  ### Mirror Dataset (ACE Part) License Agreement

  This repo contains the preprocessed
  [ACE-related](https://catalog.ldc.upenn.edu/LDC2006T06) datasets in
  [Mirror](https://github.com/Spico197/Mirror) format.

  Please fill in the form below to apply for the access. This is especially
  designed to validate your LDC license of ACE2005.
extra_gated_fields:
  First Name: text
  Last Name: text
  Country: country
  Affiliation: text
  Job title:
    type: select
    options:
      - Student
      - Research Graduate
      - AI researcher
      - AI developer/engineer
      - Reporter
      - Other
  geo: ip_location
  (license check 1/2) To make sure we don't break the LDC license of ACE2005, please copy the content of line 46-50 in `LDC2006T06/data/English/un/fp2` to ensure you have the original data files: text
  (license check 2/2) How many files are there in `LDC2006T06/data/English/cts/timex2norm`: text
extra_gated_button_content: Submit

Mirror Dataset (ACE Part)

This is the rest part of the whole datasets for 🪞Mirror. You could merge with Mirror_woACE to get the complete dataset.

This repo mainly contains the ACE dataset that requires an additional LDC license.

If you have such a license, please feel free to drop Tong Zhu an email ([email protected]) with some data samples, then apply the dataset access on this page.

Direct data access applications without email notifications will not be approved.

Citation

@misc{zhu_mirror_2023,
  shorttitle = {Mirror},
  title = {Mirror: A Universal Framework for Various Information Extraction Tasks},
  author = {Zhu, Tong and Ren, Junfei and Yu, Zijian and Wu, Mengsong and Zhang, Guoliang and Qu, Xiaoye and Chen, Wenliang and Wang, Zhefeng and Huai, Baoxing and Zhang, Min},
  url = {http://arxiv.org/abs/2311.05419},
  doi = {10.48550/arXiv.2311.05419},
  urldate = {2023-11-10},
  publisher = {arXiv},
  month = nov,
  year = {2023},
  note = {arXiv:2311.05419 [cs]},
  keywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language},
}