Datasets:

Modalities:
Text
Formats:
csv
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
esind commited on
Commit
0ae687e
·
1 Parent(s): 641e6c7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -3
README.md CHANGED
@@ -10,7 +10,7 @@ size_categories:
10
  ## Dataset Summary
11
  The data contains survey questions about global issues and opinions adapted from the [World Values Survey](https://www.worldvaluessurvey.org/) and [Pew Global Attitudes Survey](https://www.pewresearch.org/).
12
 
13
- The data is further described in the paper: [Towards Measuring the Representation of Subjective Global Opinions in Language Models](placeholder). [TODO: insert link]
14
 
15
  ## Purpose
16
  In our paper, we use this dataset to analyze the opinions that large language models (LLMs) reflect on complex global issues.
@@ -39,6 +39,12 @@ For questions, you can email esin at anthropic dot com
39
  ## Citation
40
  If you would like to cite our work or data, you may use the following bibtex citation:
41
 
42
- [TODO: insert bibtex]
43
-
 
 
 
 
 
 
44
 
 
10
  ## Dataset Summary
11
  The data contains survey questions about global issues and opinions adapted from the [World Values Survey](https://www.worldvaluessurvey.org/) and [Pew Global Attitudes Survey](https://www.pewresearch.org/).
12
 
13
+ The data is further described in the paper: [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://arxiv.org/abs/2306.16388).
14
 
15
  ## Purpose
16
  In our paper, we use this dataset to analyze the opinions that large language models (LLMs) reflect on complex global issues.
 
39
  ## Citation
40
  If you would like to cite our work or data, you may use the following bibtex citation:
41
 
42
+ @misc{durmus2023measuring,
43
+ title={Towards Measuring the Representation of Subjective Global Opinions in Language Models},
44
+ author={Esin Durmus and Karina Nyugen and Thomas I. Liao and Nicholas Schiefer and Amanda Askell and Anton Bakhtin and Carol Chen and Zac Hatfield-Dodds and Danny Hernandez and Nicholas Joseph and Liane Lovitt and Sam McCandlish and Orowa Sikder and Alex Tamkin and Janel Thamkul and Jared Kaplan and Jack Clark and Deep Ganguli},
45
+ year={2023},
46
+ eprint={2306.16388},
47
+ archivePrefix={arXiv},
48
+ primaryClass={cs.CL}
49
+ }
50