SemTab 24: Semantic Table Annotations Benchmark for LLM-based approaches
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下载链接：
https://zenodo.org/record/11031986
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资源简介：
SuperSemtab24 is a dataset for tabular data to knowledge graph matching.
The dataset is divided into training and validation sets. The dataset includes general-purpose tables and intentionally misspelled entities to evaluate the model's robustness. Participants must annotate the entity mentions in the validation set and submit their annotations (following a target file).
The repository contains the full version of the dataset; the ground truth (GT) of the test set will be uploaded in the future.
创建时间：
2024-04-22
