---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: quadruples
    list:
      list: string
  splits:
  - name: train
    num_bytes: 3087718
    num_examples: 8645
  download_size: 1730003
  dataset_size: 3087718
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
language:
- en
---

This is an improved version of [aeth0r/yago2022-v1](https://huggingface.co/datasets/aeth0r/yago2022-v1). If you use this dataset in your research, please cite:

```bibtex
@Article{Amalvy2026,
	title = {Beyond Known Facts: Generating Unseen Temporal Knowledge to Address Data Contamination in LLM Evaluation},
	author = {Amalvy, Arthur and Huang, Hen-Hsen},
	year = {2026},
	volume = {cs.CL},
	url = {https://arxiv.org/abs/2601.13658},
	pages = {2601.13658},
	journal = {arXiv},
}
```