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This directory contains the CaSiNo dataset along with the associated strategy annotations.

Descriptions

casino.json: The complete set of 1030 dialogues in the CaSiNo dataset, containing the conversations, participant information, and strategy annotations, wherever available.
split: Contains one random split of casino.json into train/valid/test.

Format for the outcome variables

points_scored

  • Points gained for one single item are based on these rules - every high item: 5 , every medium item: 4, every low item: 3
  • Final points can be computed by simply summing up the points for all the items that the participant is able to negotiate for, as per the final agreed deal.
  • If someone walks away, the final points are equal to 5 (equivalent of one high item), for both the participants.

satisfaction (How satisfied are you with the negotiation outcome?)

  • 5 possible values (Extremely dissatisfied, Slightly dissatisfied, Undecided, Slightly satisfied, Extremely satisfied)
  • For the analysis in the paper, these were encoded on a scale from 1 to 5 (with increasing satisfaction)

opponent_likeness (How much do you like your opponent?)

  • 5 possible values (Extremely dislike, Slightly dislike, Undecided, Slightly like, Extremely like)
  • For the analysis in the paper, these were encoded on a scale from 1 to 5 (with increasing likeness)

Notes

For more information, please refer to the original dataset paper published at NAACL 2021 (https://aclanthology.org/2021.naacl-main.254.pdf).

You can also reach out to us at [email protected] (Kushal Chawla).