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README.md
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<p align="center"><h1>Dataset from "Approaching Human-Level Forecasting with Language Models"</h1></p>
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<p>This document details the curated dataset developed for 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
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<h2>Data Source and Format</h2>
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<p>The dataset is compiled from forecasting platforms including Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms enable users to predict future events by assigning probabilities to different outcomes, structured as follows:</p>
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<p align="center"><h1>Dataset from "Approaching Human-Level Forecasting with Language Models"</h1></p>
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<p>This document details the curated dataset developed for 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:[email protected]">Danny Halawi</a>, <a href="mailto:[email protected]">Fred Zhang</a>, <a href="mailto:[email protected]">Chen Yueh-Han</a>, and <a href="mailto:[email protected]">Jacob Steinhardt</a>.</p>
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<h2>Data Source and Format</h2>
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<p>The dataset is compiled from forecasting platforms including Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms enable users to predict future events by assigning probabilities to different outcomes, structured as follows:</p>
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