Update README.md

README.md

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 <p align="center"><h1>Raw Dataset from "Approaching Human-Level Forecasting with Language Models"</h1></p>
 
-<p>This documentation provides an overview of the raw dataset utilized in our research paper, <strong><a href="https://arxiv.org/abs/2402.18563" target="_blank">Approaching Human-Level Forecasting with Language Models</a></strong>, authored by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt.</p>
+<p>This documentation provides an overview of the raw dataset utilized in our research paper, <strong><a href="https://arxiv.org/abs/2402.18563" target="_blank">Approaching Human-Level Forecasting with Language Models</a></strong>, authored by <a href="mailto:dhalawi@berkeley.edu">Danny Halawi</a>, <a href="mailto:z0@eecs.berkeley.edu">Fred Zhang</a>, <a href="mailto:john0922ucb@berkeley.edu">Chen Yueh-Han</a>, and <a href="mailto:jsteinhardt@berkeley.edu">Jacob Steinhardt</a>.</p>
 
 <h2>Data Source and Format</h2>
 <p>The dataset originates from forecasting platforms such as Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms engage users in predicting the likelihood of future events by assigning probabilities to various outcomes. The data structure encompasses:</p>