https://github.com/huggingface/personas
Datasets for Deep learning Personas
https://github.com/huggingface/personas
datasets deep-learning neural-conversation-models
Last synced: 9 months ago
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Datasets for Deep learning Personas
- Host: GitHub
- URL: https://github.com/huggingface/personas
- Owner: huggingface
- Created: 2017-02-12T11:22:42.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-12-27T01:35:42.000Z (over 8 years ago)
- Last Synced: 2025-09-30T18:02:30.480Z (9 months ago)
- Topics: datasets, deep-learning, neural-conversation-models
- Size: 1.95 KB
- Stars: 62
- Watchers: 7
- Forks: 24
- Open Issues: 3
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Metadata Files:
- Readme: README.md
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README
# personas
Datasets for Deep learning Personas
***TL;DR:*** These are the datasets that we've used in our fun AI side project experiment, over at https://personas.huggingface.co/
We've trained seq2seq models using [DeepQA](https://github.com/Conchylicultor/DeepQA), a tensorflow implementation of "A neural conversational model" (a.k.a. the Google paper), a Deep learning based chatbot.
## Datasets used
* [Cornell Movie Dialogs](http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html) corpus
* Supreme Court Conversation Data.
* [Ubuntu Dialogue Corpus](https://arxiv.org/abs/1506.08909) for tech-support type discussion.
* [Stack Exchange Data Dump](https://archive.org/details/stackexchange)
This is an anonymized dump of all user-contributed content on the Stack Exchange network. Each site is formatted as a separate archive consisting of XML files zipped via 7-zip using bzip2 compression. Each site archive includes Posts, Users, Votes, Comments, PostHistory and PostLinks. For complete schema information, see the included readme.txt.
Attribution: cc-by-sa 3.0