A contemporary dataset of 7,368 real-world documents published after March 1, 2025, curated for testing the temporal grounding of Large Language Models.

Below are examples of how to load Tempora-0325 using the Hugging Face datasets library. Adjust the config_name as needed.

from datasets import load_dataset

ds_balanced = load_dataset("sumuks/tempora", name="tempora-0325B", split="train")… See the full description on the dataset page: https://huggingface.co/datasets/yourbench/tempora.