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+# Beyond Goldfish Memory: Long-Term Open-Domain Conversation
+
+Jing Xu, Arthur Szlam, Jason Weston
+
+## Abstract
+
+Despite recent improvements in open-domain dialogue models, state of the art models are trained and evaluated on short conversations with little context.
+In contrast, the long-term conversation setting has hardly been studied. In this work we collect and release a human-human dataset consisting of multiple chat sessions whereby the speaking partners learn about each other's interests and discuss the things they have learnt from past sessions. 
+We show how existing models trained on existing datasets perform poorly in this long-term conversation setting in both automatic and human evaluations, and we study long-context models that can perform much better.  In particular, we find  retrieval-augmented methods and methods with an ability to summarize and recall previous conversations outperform the standard encoder-decoder architectures currently considered state of the art.
+
+## Paper
+
+[Link](msc.pdf)
+
+## Example Conversation Session
+(Human-human conversation from the dataset)
+
+<p align="center"><img width="70%" src="msc_conv_example.png" /></p>
+
+
+## Data
+
+We release the Multi-Session Chat and Summarization tasks at `parlai/tasks/msc`. 
+
+To view the multi-session chat data (session 1-4, with 237k training examples and 25k valid examples), run:
+```
+parlai display_data -t msc 
+```
+
+To view the multi-session chat data (session 1-5, with extra 6k valid examples), run:
+
+```
+parlai display_data -t msc --include-last-session True 
+```
+
+To view the dialog summary for multi-session chat data (session 1-4, with 130k train examples and 25k valid examples), run:
+
+```
+parlai display_data -t msc:PersonaSummary --include-last-session True 
+```
+
+See the [ParlAI quickstart for help](http://www.parl.ai/docs/tutorial_quick.html).
+
+
+## Models
+
+- The model MSC2.7B (truncate 1024) can be downloaded and evaluated with the following command:
+```
+parlai eval_model -mf zoo:msc/msc3B_1024/model -t msc -dt valid -bs 16 --previous-persona-type raw_history
+```
+
+- The model SumMem-MSC 2.7B (Fid-RAG) can be downloaded and evaluated with the following command:
+```
+parlai eval_model -mf zoo:msc/summsc_fidrag3B/model -t msc -dt valid -bs 16 --previous-persona-type predsum_both
+```
+
+- The Dialogue Summarization Model (for summarizing dialogue and writing memories) can be downloaded and evaluated with the following command:
+```
+parlai eval_model -mf zoo:msc/dialog_summarizer/model -t msc:PersonaSummary -dt valid -bs 16
+```
+
+## Human Evaluations
+
+Human evaluations were performed using the Mephisto task [given here](https://github.com/facebookresearch/ParlAI/tree/master/parlai/crowdsourcing/tasks/model_chat).
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