A multimodal benchmark dataset for evaluating large language models on traditional Chinese opera understanding.
- DOI
- 10.1038/s41597-026-07611-7
- Published
- 2026 Jul 1
- Container
- Scientific data
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41597-026-07611-7,
title = {A multimodal benchmark dataset for evaluating large language models on traditional Chinese opera understanding.},
author = {Cao G and Hou S and Yang Y and Liu R and Duan H and Li D},
year = {2026},
journal = {Scientific data},
doi = {10.1038/s41597-026-07611-7},
url = {https://doi.org/10.1038/s41597-026-07611-7}
}RIS
TY - JOUR TI - A multimodal benchmark dataset for evaluating large language models on traditional Chinese opera understanding. AU - Cao G AU - Hou S AU - Yang Y AU - Liu R AU - Duan H AU - Li D PY - 2026 JO - Scientific data DO - 10.1038/s41597-026-07611-7 UR - https://doi.org/10.1038/s41597-026-07611-7 ER -
APA
G, C., S, H., Y, Y., R, L., H, D., & D, L. (2026). A multimodal benchmark dataset for evaluating large language models on traditional Chinese opera understanding.. Scientific data. https://doi.org/10.1038/s41597-026-07611-7
Source records
- pubmed · retrieved 2026-11-10T13:21:18.928Z