datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
forecasting_rawRaw Dataset from "Approaching Human-Level Forecasting with Language Models"
This documentation provides an overview of the raw dataset utilized in our research paper, Approaching Human-Level Forecasting with Language Models, authored by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt.
Data Source and Format
The dataset originates from forecasting platforms such as Metaculus, Good Judgment Open, INFER, Polymarket, and Manifold. These platforms engage users in predicting the… See the full description on the dataset page: https://huggingface.co/datasets/YuehHanChen/forecasting_raw.forecastingDataset from "Approaching Human-Level Forecasting with Language Models"
This document details the curated dataset developed for our research paper, Approaching Human-Level Forecasting with Language Models, authored by Danny Halawi, Fred Zhang, Chen Yueh-Han, and Jacob Steinhardt.
Data Source and Format
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… See the full description on the dataset page: https://huggingface.co/datasets/YuehHanChen/forecasting.pm25-forecasting-data
PM2.5 Forecasting Demo Data
This dataset stores the lightweight artifacts used by the Hugging Face Space demo:
https://huggingface.co/spaces/sumit1703/pm25-forecasting
The files are precomputed outputs from the ANRF AISEHack Phase 2 Theme 2 Pollution Forecasting project. The Space uses these artifacts only for visualization. It does not run live model inference, training, or torch at runtime.
Files
File
Description
demo_preds.npy
Precomputed PM2.5… See the full description on the dataset page: https://huggingface.co/datasets/sumit1703/pm25-forecasting-data.Electricity_Load_Forecasting_using_LLMSUtili-micro-task-forecastingForecastingv1V1 of a custom event forecasting dataset.
Data is not very well filtered or well formatted.