{"url":"/dataset/fda-cdrh-device-recalls-ner-dataset","name":"FDA CDRH Device Recalls NER Dataset","full_name":null,"description_markdown":"This dataset was created for the purpose of performing NER tasks. It utilizes the OpenFDA Device Recalls dataset, which has been processed and annotated for performing NER. The Device Recalls dataset has been further processed to extract the recall action element, which is utilized for annotation in this dataset.","description_withheld":null,"homepage":"https://huggingface.co/datasets/mfarrington/biobert-ner-fda-recalls-dataset","introduced_date":"2024-06-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/devicebert-applied-transfer-learning-with","title":"DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries","first_author":"Miriam Farrington","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["FDA CDRH Device Recalls NER Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}