datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gdelt-forecast-binary
GDELT-Forecast Binary
1,215 yes/no forecasting questions generated from clusters of news articles in the GDELT 2.0 corpus (Aug 2025 – Apr 2026). Each question is paired with the original seed-event articles, top-5 retrieved evidence articles dated strictly before the question creation date, and a verified ground-truth answer.
Intended use
Training and evaluating LLM-based forecasting models in a strict forecasting posture — the model sees only news that was publicly… See the full description on the dataset page: https://huggingface.co/datasets/rajatagarwal457/gdelt-forecast-binary.my-smol-ds
Dataset Card for my-smol-ds
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/Binaryy/my-smol-ds/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Binaryy/my-smol-ds.