BioNER
Datasets
All datasets matching “BioNER”bioner-eval-subset
BioNER Fixed Evaluation Subset
A fixed, pre-built evaluation subset for 9 standard biomedical Named
Entity Recognition (NER) benchmarks, created for reproducible pre/post
fine-tuning comparisons of MedGemma-4B (google/medgemma-1.5-4b-it) as
part of an internship project at DISI, University of Bologna.
Why this exists
Comparing a model before and after fine-tuning — and later against a
further CoT-distilled version — is only meaningful if every evaluation
uses… See the full description on the dataset page: https://huggingface.co/datasets/filippogreppi/bioner-eval-subset.indonesia-bioner-dataset
Indonesia BioNER Dataset
This dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.
Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the data into two entity types: DISORDERS and ANATOMY. The topics of answers are: diarrhea, HIV-AIDS, nephrolithiasis and TBC, which marked as high-risk dataset from WHO.
This work… See the full description on the dataset page: https://huggingface.co/datasets/abid/indonesia-bioner-dataset.bio_ner
Dataset Details
Dataset Description
NER data.
Curated by:
License: NEEDS TO BE DEFINED
Dataset Sources
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Citation
BibTeX:
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bio_ner_6
Dataset Details
Dataset Description
NER data.
Curated by:
License: NEEDS TO BE DEFINED
Dataset Sources
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Citation
BibTeX:
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bio_ner_2
Dataset Details
Dataset Description
NER data.
Curated by:
License: NEEDS TO BE DEFINED
Dataset Sources
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Citation
BibTeX:
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bioner_idThis dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.
Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the data into two entity types: DISORDERS and ANATOMY.
The topics of answers are: diarrhea, HIV-AIDS, nephrolithiasis and TBC, which marked as high-risk dataset from WHO.