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license: cc-by-nc-sa-4.0 |
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extra_gated_prompt: "By requesting and downloading CoDA, the user acknowledges that the use of this dataset is restricted to research and/or academic purposes only." |
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extra_gated_fields: |
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Full Name: text |
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Affiliated Institution / Organization / University: text |
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E-mail (must match affiliation; general email domains such as gmail are NOT ALLOWED): text |
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Position (ex doctoral student, professor, researcher, etc): text |
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Purpose of Usage (Please describe the purpose of usage in as much detail as possible): text |
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Country: text |
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I have read the conditions and agree to use this model for ethical, non-commercial use ONLY: checkbox |
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A request cannot be modified once submitted; I understand that requests with incomplete, insufficient, or inaccurate information will be rejected: checkbox |
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# CoDA Dataset |
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## Terms of Usage |
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CoDA is available for access upon request. |
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Users may submit their request using the form below, |
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which includes the name of the user, the user’s institution, the user’s email address that matches the institution, and the purpose of usage. |
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By requesting and downloading CoDA, the user agrees to the following: |
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the user acknowledges that the use of this dataset is restricted to research and/or academic purposes only. |
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A request may be declined if it does not sufficiently describe research purposes that follow the ACM Code of Ethics (https://www.acm.org/code-of-ethics). |
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The information provided by the requesting user will not be used in any way except for sending the dataset to the user and keeping track of request history for CoDA. |
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By requesting for the dataset, the user agrees to our collection of the provided information. |
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This dataset shall only be used for non-profit research purposes and in a manner consistent with fair practice. Do not redistribute this dataset to others. |
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The user should indicate the source of this dataset (found at the bottom of the page) when using or citing the data in their research or article. |
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## Citation |
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If you are using the CoDA dataset, please cite the following paper accordingly: |
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```Youngjin Jin, Eugene Jang, Yongjae Lee, Seungwon Shin, and Jin-Woo Chung. 2022. Shedding New Light on the Language of the Dark Web. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5621–5637, Seattle, United States. Association for Computational Linguistics.``` |
