Frame2KG-YC2

Frame2KG-YC2 is a frame-to-knowledge-graph synthetic dataset derived from YouCook2, a cooking video dataset.

Each example contains an image, source metadata, a structured graph of localised entities and relations, and a short graph-derived sentence.

Splits

The training, validation, and testing splits are the primary dataset splits.

The validation_dev split is a 100-example subsample of validation.

The train_calibration split is a 256-example subsample of training, intended for calibration or quantisation workflows.

Citation

If you use this dataset in your work, please cite the paper:

@inproceedings{watson2026frame2kg,
  title = {Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation},
  author = {Watson, Lewis N. and Strathearn, Carl and Mitchell, Kenny and Yu, Yanchao},
  booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
  month = {May},
  year = {2026},
  pages = {10912--10926},
  address = {Palma, Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
  doi = {10.63317/4ys6kofrzoc5},
  url = {https://doi.org/10.63317/4ys6kofrzoc5}

Notes

Annotations are synthetic and cooking-domain specific, so the dataset should be treated as a controlled benchmark rather than general-purpose visual ground truth. Dataset is provided as is.