Update README.md

README.md

@@ -1,3 +1,19 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- token-classification
+tags:
+- BioNER
+- Biomedical NER
+---
+# AIObioEnts model files
+
+This dataset contains the model files for [AIObioEnts](https://github.com/sirisacademic/AIObioEnts), trained using [AIONER](https://github.com/ncbi/AIONER) with 4 different pre-trained models:
+
+- [BiomedBERT-base pre-trained on abstracts from PubMed; the best-performing model reported in the original AIONER paper](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract)
+- [BiomedBERT-base pre-trained on both abstracts from PubMed and full-texts articles from PubMedCentral](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext)
+- [BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base)
+- [BioLinkBERT large](https://huggingface.co/michiyasunaga/BioLinkBERT-large)
+
+
+for the identification of core biomedical entities—gene, disease, cell line, chemical, species, variant— in textual data, in addition to the models fine-tuned with selected entites from the [AnatEM](https://nactem.ac.uk/anatomytagger/#AnatEM) corpus—cell component, tissue, organ, multi-tissue structure, cancer.