Sign inGet started
Dataset · Hugging Face

macwiatrak/bacbench-antibiotic-resistance-protein-sequences

Dataset for antibiotic resistance prediction from whole-bacterial genomes (protein sequences) A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels. The genome protein sequences have been extracted from GenBank. Each row contains whole bacterial genome, with spaces separating different contigs present in the genome. The antimicrobial resistance labels have been extracted from Antibiotic Susceptibility Test (AST) Browser, accessed 23 Oct… See the full description on the dataset page: https://huggingface.co/datasets/macwiatrak/bacbench-antibiotic-resistance

Author / organizationmacwiatrak
License (as declared)apache-2.0
Downloads273 (as reported by Hugging Face)
Likes0
Created5 May 2025
Last updated at source21 August 2025
antibioticbacteriagenomicsproteinsbiologyprokaryotes
Embed this entry
<iframe src="https://silytics.si/embed/item/bcb9624f-4e6b-48f7-be8d-83766f3d53eb" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 4 days

273 now (-16 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: Dataset for antibiotic resistance prediction from whole-bacterial genomes (protein sequences) A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels. The genome protein sequences have been extracted fro → Dataset for antibiotic resistance prediction from whole-bacterial genomes (protein sequences) A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels. The genome protein sequences have been extracted fro

Changes detected by Silytics between refreshes of the source.

More from macwiatrak

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.