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---
license: mit
widget:
- text: "What is or could be the cause of target? <sep> target: Thanks. Will I be able to take a retest ? <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 ., <utt> 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 . "
example_title: "Cause 1"
- text: "What is or could be the cause of 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'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 2"
- text: "What subsequent event happens or could happen following 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 1"
- text: "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 ., <utt> 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 . "
example_title: "Subsequent Event 2"
- 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"
- text: "What is or could be the motivation of 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 ., <utt> 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 . "
example_title: "Motivation"
---
## DIALogue-level Commonsense Transformer (DIALeCT)
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.
## Datasets
The dataset used to pretrain the model can be obtained from the [CICERO repo](https://github.com/declare-lab/CICERO) following instructions. The Contextualized Commonsense Inference in Dialogues v2 (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 target? <sep>
target: Thanks. Will I be able to take a retest ? <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 ., <utt>
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:
```
The speaker has failed the driving test.
```
**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.
```
## Inference:
The input text should be formatted as follows:
```
Question <sep> target: target_utt <sep> context: A: utterance 1 <utt> B: utterance 2 <utt> A: utterance 3 <utt> B: utterance 4
```
Question: The question against which we want to make the inference.
A, B are speaker identifiers
The ```target_utt``` should be anyone between ```utterance 1, utterance 2, utterance 3, or utterance 4```. Do not use the speaker identifier in the ```target_utt```
Some samples are provided in the Hosted inference API box examples.
## 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}
}
``` |