Dataset for Rapid Adaptation of Chemical Named Entity Recognition using Few-Shot Learning and LLM Distillation

Note: use tar xf [filename].tar.xz to decompress all files The following compressed file corresponds to a folder under the root path of project: model.tar.xz: the scibert model checkpoint data.tar.xz: the six human annotated chemical NER dataset episode.tar.xz: sampled episodes for the six datasets chatGPT.tar.xz, claude.tar.xz, gemini.tar.xz: LLM annotation file and corresponding sampled episodes Additionally codereadme.tar.xz contains all the codes and an readme file under project root. More detailed instruction are in the readme Please email [e-mail] if you have any questions.