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README.md

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-The data contains survey questions about global issues and opinions adapted from the World Values Survey (WVS) and Pew Global Attitudes Survey.
+# Dataset Card for Global Opinions Data
 
+## Dataset Summary
+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/).
+
+The data is further described in the paper: [Towards Measuring the Representation of Subjective Global Opinions in Language Models](placeholder).
+
+## Purpose
+In our paper, we use this dataset to analyze the opinions that large language models (LLMs) reflect on complex global issues. 
+Our goal is to gain insights into potential biases in AI systems by evaluating their performance on subjective topics.
+
+## Data Format
 The data is in a CSV file with the following columns:
-<li>question: The text of the survey question.</li>
-<li>selections: A dictionary where the key is the country name and the value is a list of percentages of respondents who selected each answer option for that country.</li>
-<li>options: A list of the answer options for the given question.</li>
+- question: The text of the survey question.
+- selections: A dictionary where the key is the country name and the value is a list of percentages of respondents who selected each answer option for that country.
+- options: A list of the answer options for the given question.
+- source: GAS/WVS depending on whether the question is coming from Global Attitudes Survey or World Value Survey.
+  
+## Usage
+```python
+from datasets import load_dataset
+# Loading the data
+dataset = load_dataset("Anthropic/llm_global_opinions")
+```
+## Disclaimer
+We recognize the limitations in using this dataset to evaluate LLMs, as they were not specifically
+designed for this purpose. Therefore, we acknowledge that the construct validity of these datasets when applied to LLMs may be limited. 
+
+## Contact
+For questions, you can email esin at anthropic dot com
+
+## Citation
+If you would like to cite our work or data, you may use the following bibtex citation:
+
+[TODO: insert bibtex]
+
+