Published February 2, 2025 | Version v1

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

  • 1. EDMO icon University of Delaware

Description

Github code link: https://github.com/nsndimt/ChemSSP
JCIM paper link: https://pubs.acs.org/doi/10.1021/acs.jcim.5c00248

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 zhangyue@udel.edu if you have any questions.

Files

Files (2.0 GB)

Name Size
md5:3ef6d76ed60b4dc895cfe577eb76fbc5
433.4 MB Download
md5:8910fe3acfecf5a8901556a9a3a47111
435.9 MB Download
md5:ff75edc1af1c227fe7150a1ad530977f
55.7 kB Download
md5:076cd9520a309e6169804da7fa104d6f
179.1 MB Download
md5:57aec57a067174f3747091ab48903b8a
67.1 MB Download
md5:e5441217e1bd74c617b91be1511bed58
478.5 MB Download
md5:d20e33e0979b6bb5560c2508664ae802
422.5 MB Download

Additional details

Dates

Created
2025-02-02