README.md

metadata

license: mit
task_categories:
  - token-classification
language:
  - en
tags:
  - ner
  - pharmaceutical
  - ocr
  - drug-names
  - benchmark
  - medical
size_categories:
  - 100<n<1K
citation: |
  @software{perekrestova_pillchecker_2026,
    author = {Perekrestova, Svetlana},
    title = {PillChecker API: Pharmaceutical Entity Extraction and Interaction Checker},
    version = {1.2.2},
    doi = {10.5281/zenodo.19792062},
    url = {https://github.com/SPerekrestova/pillchecker-api},
    date = {2026-04-26},
    publisher = {Zenodo},
    note = {GitHub Repository}
  }

PillChecker NER Benchmark

Benchmark dataset for evaluating Named Entity Recognition (NER) models on pharmaceutical packaging text.

Dataset Description

500 synthesized pack-label texts generated from the MattBastar/Medicine_Details dataset, designed to simulate OCR output from photos of pill packaging.

Each case contains:

• id: Unique case identifier
• category: single_ingredient, dual_ingredient, or multi_ingredient
• ocr_text: Synthesized pharmaceutical label text (clean or with OCR noise)
• expected_names: Ground-truth list of active pharmaceutical ingredients
• source_composition: Original composition string from source dataset

Use Case

This dataset tests whether NER models can extract active pharmaceutical ingredients from short, formulaic packaging text — a domain significantly different from biomedical literature.

Benchmark Rules

This dataset is the canonical location for benchmark input cases only. Benchmark result history belongs in hf://buckets/SPerva/pillchecker-experiments/benchmark-results/, not in this dataset repository.

Current records contain id, category, ocr_text, expected_names, and source_composition. Before using this dataset for entity-linking or interaction claims, add expected_rxcuis, clean_text, expected_interactions, and known-safe pairs as described in the GitHub repo's AGENTS.md and eval/README.md.

Baseline Results

Historical OpenMed baseline results are stored in the PillChecker experiments bucket. Project-facing result claims should cite a bucket run manifest and Git commit.

Source

Part of the PillChecker project.