Few-NERD is a dataset released with an ACL 2021 paper designed for few-shot NER evaluation, supporting both few-shot and supervised training settings. The repository includes episode-sampled data, BERT tagger training scripts, and evaluation code for entity typing under limited-label scenarios. Researchers can download pre-sampled episodes or raw data and train models using the provided bash scripts.