Datasets:

gretelai
/

commonsense-dialogues

Tasks:

Text Classification

Table Question Answering

Text Generation

Modalities:

Formats:

Languages:

Size:

ArXiv:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

mvansegbroeck commited on Aug 1

Commit

212edc6

•

1 Parent(s): fb9da2d

Update README.md

Files changed (1) hide show

README.md +1 -4

README.md CHANGED Viewed

@@ -11,12 +11,9 @@ size_categories:
 ---
 ## Commonsense-Dialogues Dataset
-This is the Commonsense-Dialogues, a crowdsourced dataset of ~11K dialogues grounded in social contexts involving utilization of commonsense.
-The dataset was released by Amazon Alexa AI team in collaboration with the University of Southern California (USC), and also available [Commonsense-Dialogues repo](https://github.com/alexa/Commonsense-Dialogues/tree/main)
 The social contexts used were sourced from the **train** split of the [SocialIQA](https://leaderboard.allenai.org/socialiqa/submissions/get-started) dataset, a multiple-choice question-answering based social commonsense reasoning benchmark.
 For the collection of the Commonsense-Dialogues dataset, each Turker was presented a social context and asked to write a dialogue of 4-6 turns between two people based on the event(s) described in the context. The Turker was asked to alternate between the roles of an individual referenced in the context and a 3rd party friend. See the following dialogues as examples:
 ```

 ---
 ## Commonsense-Dialogues Dataset
+This is the Commonsense-Dialogues, a crowdsourced dataset of ~11K dialogues grounded in social contexts involving utilization of commonsense. The dataset was released by Amazon Alexa AI team in collaboration with the University of Southern California (USC), and also available [Commonsense-Dialogues repo](https://github.com/alexa/Commonsense-Dialogues/tree/main)
 The social contexts used were sourced from the **train** split of the [SocialIQA](https://leaderboard.allenai.org/socialiqa/submissions/get-started) dataset, a multiple-choice question-answering based social commonsense reasoning benchmark.
 For the collection of the Commonsense-Dialogues dataset, each Turker was presented a social context and asked to write a dialogue of 4-6 turns between two people based on the event(s) described in the context. The Turker was asked to alternate between the roles of an individual referenced in the context and a 3rd party friend. See the following dialogues as examples:
 ```