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| 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](https://github.com/Spico197/Mirror). | |
| You could merge with [Mirror_woACE](https://huggingface.co/datasets/Spico/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 (tzhu1997@outlook.com) with some data samples, then apply the dataset access on this page. | |
| Direct data access applications without email notifications will not be approved. | |
| ## Citation | |
| ```bibtex | |
| @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}, | |
| } | |
| ``` |