Add examples, bibTex,

README.md

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 license: mit
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+## Contextualized Commonsense Inference in Dialogues v2
 The pretrained checkpoint for the paper [Multiview Contextual Commonsense Inference: A New Dataset and Task](https://arxiv.org/abs/2210.02890).
 
-The model is trained based on the [T5-large](https://huggingface.co/t5-large) checkpoint.
+The model is trained based on the [T5-large](https://huggingface.co/t5-large) checkpoint.
+
+![model image](https://drive.google.com/uc?export=download&id=14RIbxgXhREdu5xZiKn5D-UUzaQLDNLqf)
+
+
+## Datasets 
+The dataset used to pretrain the model can be obtained from the [CICERO repo](https://github.com/declare-lab/CICERO) following instructions. The CICEROv2 consists of annotated commonsense inferences including cause and emotional reaction, etc. The dialogues are from multiple datasets.
+| Dataset  | #Dialogues| #Instances|
+| -------- | ----- | --------- |
+| DailyDialog| 1118| 3973|
+| MuTual| 1011  | 3384|
+| Dream| 250  | 994|
+
+### Examples
+Some examples of generated results from the pretrained model (the zero-shot setting).
+
+**Subsequent Event**
+```
+What is or could be the subsequent event of the target? <sep> 
+target: Oh . I just can't forget it .<sep> 
+context: A: David , why didn't you clean the room ?, <utt> 
+B: I'm not in the mood ., <utt> 
+A: Why are you feeling depressed ?, <utt> 
+B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> 
+A: I don t think she will do such a thing ., <utt> 
+B: But she did and made me disappointed ., <utt> 
+A: Oh , cheer up . A girlfriend is not everything ., <utt> 
+B: But she means a lot to me ., <utt> 
+A: Then forgive her mistake ., <utt> 
+B: Oh . I just can't forget it 
+```
+Predicted subsequent event:
+```
+David's girlfriend apologized to david for her mistake.
+```
+
+**Cause**
+```
+What subsequent event happens or could happen following the target? <sep> 
+target: Sure you can , in about two and a half weeks . <sep> 
+context: "A: Did I do well on my test ?", <utt> 
+"B: Do you want to know the honest answer ?", <utt> 
+"A: Why wouldn't I want to know ?", <utt> 
+"B: You had pretty bad scores .", <utt> 
+"A: Exactly what do you mean by bad ?", <utt> 
+"B: You failed .", 
+"A: How'd I fail it ?", <utt> 
+"B: There are a couple of reasons why you didn't pass .", <utt> 
+"A: What did I do wrong ?", <utt> 
+"B: To sum it all up , you really just don't know how to drive .", <utt> 
+"A: Thanks.Will I be able to take a retest ?", <utt> 
+"B: Sure you can , in about two and a half weeks ."
+```
+Predicted cause:
+```
+David's girlfriend was not nice to him.
+```
+
+**Emotional Reaction**
+```
+What is the possible emotional reaction of the listener in response to target? <sep> 
+target: Oh . I just can't forget it .<sep> 
+context: A: David , why didn't you clean the room ?, <utt> 
+B: I'm not in the mood ., <utt> 
+A: Why are you feeling depressed ?, <utt>
+B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> 
+A: I don t think she will do such a thing ., <utt> 
+B: But she did and made me disappointed ., <utt> 
+A: Oh , cheer up . A girlfriend is not everything ., <utt> 
+B: But she means a lot to me ., <utt> 
+A: Then forgive her mistake ., <utt> 
+B: Oh . I just can't forget it 
+```
+Predicted emotional reaction:
+```
+The listener is hopeful that david will forgive his girlfriend for her mistake.
+```
+
+
+## BibTeX entry and citation info
+If you use the model, you can cite: 
+```bibtex
+@article{Shen2022MultiviewCC,
+  title={Multiview Contextual Commonsense Inference: A New Dataset and Task},
+  author={Siqi Shen and Deepanway Ghosal and Navonil Majumder and Henry Lim and Rada Mihalcea and Soujanya Poria},
+  journal={ArXiv},
+  year={2022},
+  volume={abs/2210.02890}
+}
+```