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# path to pretrained model and tokenizer
model_name_or_path: microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL
test_data:
_target_: utils.MedMentionsDataset
dataset_path: MedMentions/full/data/
split: test
# paths to encoded data
encoded_files: [
prototypes/embeddings
]
encoded_umls_files: []
entity_list_ids:
entity_list_names: prototypes/name_cuis
index_path:
seed: 12345
batch_size: 256
max_length: 64
num_retrievals: 100
top_ks: [1, 5, 50, 100]
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