Dataset · Hugging Face

LightningRodLabs/WWTD-2025

Name: WWTD-2025
Creator: LightningRodLabs
License: mit
Keywords: task_categories:text-generation, language:en, license:mit, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2601.06336, arxiv:2505.17989, region:us, forecasting, prediction

What Would Trump Do? Auto-generated from 5 search queries — used to beat GPT-5 Starting from nothing but 5 search queries, we used the Lightning Rod SDK to automatically generate 2,790 forecasting questions about Trump administration actions from news articles and label them using real outcomes. No expertise required. No manual labeling. Used to train Trump-Forecaster, which beats GPT-5. TL;DR Generated 2,790 forward-looking forecasting questions… See the full description on the dataset page: https://huggingface.co/datasets/LightningRodLabs/WWTD-2025.

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Author / organization	LightningRodLabs
License (as declared)	mit
Downloads	235 (as reported by Hugging Face)
Likes	4
Created	4 February 2026
Last updated at source	31 July 2026

forecastingpredictionpoliticstrumpfuture-as-labelreinforcement-learning

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