| # CaSiNo | |
| This repository contains the dataset and the PyTorch code for **'CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems'**. | |
| We provide a novel dataset (referred to as CaSiNo) of 1030 negotiation dialogues. Two participants take the role of campsite neighbors and negotiate for *Food*, *Water*, and *Firewood* packages, based on their individual preferences and requirements. This design keeps the task tractable, while still facilitating linguistically rich and personal conversations. | |
| # Repository Structure | |
| **data**: The complete CaSiNo dataset along with the strategy annotations.\ | |
| **strategy_prediction**: Code for strategy prediction in a multi-task learning setup. | |
| # Each Dialogue in the Dataset | |
| **Participant Info** | |
| * Demographics (Age, Gender, Ethnicity, Education) | |
| * Personality attributes (SVO and Big-5) | |
| * Preference order | |
| * Arguments for needing or not needing a specific item | |
| **Negotiation Dialogue** | |
| * Alternating conversation between two participants | |
| * 11.6 utterances on average | |
| * Includes the use of four emoticons: Joy, Sadness, Anger, Surprise | |
| **Negotiation Outcomes** | |
| * Points scored | |
| * Satisfaction (How satisfied are you with the negotiation outcome?) | |
| * Opponent Likeness (How much do you like your opponent?) | |
| **Strategy Annotations** | |
| * Utterance-level annotations for various negotiation strategies used by the participants | |
| * Available for 396 dialogues (4615 utterances) | |
| # References | |
| If you use data or code in this repository, please cite our paper: | |
| ``` | |
| @inproceedings{chawla2021casino, | |
| title={CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems}, | |
| author={Chawla, Kushal and Ramirez, Jaysa and Clever, Rene and Lucas, Gale and May, Jonathan and Gratch, Jonathan}, | |
| booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, | |
| pages={3167--3185}, | |
| year={2021} | |
| } | |
| ``` | |
| # LICENSE | |
| Please refer to the LICENSE file in the root directory for more details. | |