readme: ---
  license: mit
  widget:
  - text: "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 "
    example_title: "Subsequent Event"
  - text: "What is or could be the cause of the target? <sep>target: But she did and made me disappointed . <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 "
    example_title: "Cause"
  - text: "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 "
    example_title: "Emotional Reaction"
  datasets:
  - declare-lab/cicero
  ---
  ## 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.
  
  ![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 is or could be the cause of the target? <sep>
  target: But she did and made me disappointed . <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 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 
  ```
  Pred