Hi  VALUENET!

We present a new large-scale human value dataset called ValueNet, which contains human attitudes on 21,374 text scenarios. The dataset is organized in ten dimensions that conform to the basic human value theory in intercultural research. For more details, read our paper.

Why VALUENET?



HIGH-QUALITY

Three rounds of MTurk
+
Post filtering



LARGE-SCALE

21,374 samples
in
10 basic values



EASY-TO-USE

Open-source dataset
+
Pre-trained model



APPLICATIONS

EQ-enhanced chatbots
Value profiles
......


Visualization


The value model provides a numerical speaker profile. We visualize the 10-dimensional value of example scenarios:

Download (Original, Augmented, Balanced)



Citation


Please cite our paper as below if you find our work useful.

@inproceedings{qiu2022valuenet,
    title={ValueNet: A New Dataset for Human Value Driven Dialogue System},
    author={Qiu, Liang and Zhao, Yizhou and Li, Jinchao and Lu, Pan and Peng, Baolin and Gao, Jianfeng and Zhu, Song-Chun},
    booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
    volume={?},
    number={?},
    pages={?},
    year={2022}
}
                

License


Our dataset is distributed under the CC BY-NC-SA (Attribution-NonCommercial-ShareAlike) license, which allows anyone to use our dataset for free under the following terms:

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