| --- |
| 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}, |
| } |
| ``` |
