Create README.md

README.md

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+# 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
+![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec.jpg)
+![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec2.jpg)
+![](https://github.com/Hellisotherpeople/debate2vec/blob/master/debate2vec3.jpg)