| # debate2vec | |
| Word-vectors created from a large corpus of competitive debate evidence, and data extraction / processing scripts | |
| # Download Link | |
| Github won't let me store large files in their repos. | |
| * [FastText Vectors Here](https://drive.google.com/file/d/1m-CwPcaIUun4qvg69Hx2gom9dMScuQwS/view?usp=sharing) (~260mb) | |
| # About | |
| Created from all publically available Cross Examination Competitive debate evidence posted by the community on [Open Evidence](https://openev.debatecoaches.org/) (From 2013-2020) | |
| Search through the original evidence by going to [debate.cards](http://debate.cards/) | |
| Stats about this corpus: | |
| * 222485 unique documents larger than 200 words (DebateSum plus some additional debate docs that weren't well-formed enough for inclusion into DebateSum) | |
| * 107555 unique words (showing up more than 10 times in the corpus) | |
| * 101 million total words | |
| Stats about debate2vec vectors: | |
| * 300 dimensions, minimum number of appearances of a word was 10, trained for 100 epochs with lr set to 0.10 using FastText | |
| * lowercased (will release cased) | |
| * No subword information | |
| The corpus includes the following topics | |
| * 2013-2014 Cuba/Mexico/Venezuela Economic Engagement | |
| * 2014-2015 Oceans | |
| * 2015-2016 Domestic Surveillance | |
| * 2016-2017 China | |
| * 2017-2018 Education | |
| * 2018-2019 Immigration | |
| * 2019-2020 Reducing Arms Sales | |
| Other topics that this word vector model will handle extremely well | |
| * Philosophy (Especially Left-Wing / Post-modernist) | |
| * Law | |
| * Government | |
| * Politics | |
| Initial release is of fasttext vectors without subword information. Future releases will include fine-tuned GPT-2 and other high end models as my GPU compute allows. | |
| # Screenshots | |
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