Evaluation results of the xMEN entity linking toolkit for multiple benchmark datasets

This dataset contains the benchmark results of the xMEN toolkit for cross-lingual medical entity linking on the following, publicly available benchmark datasets:

Mantra Gold Standard Corpus (multilingual)
Quaero (French)
BRONCO150 (German)
DisTEMIST (Spanish)
MedMentions (English + machine-translated multilingual versions)

For each dataset, we evaluate the default xMEN pipeline with different steps of candidate generation and weakly-supervised and fully-supervised re-ranking on the test sets or 5-fold-cross-validation (for BRONCO150).Users of xMEN can use these data to compare their own results to the current state-of-the-art performance on these benchmarks, when loaded through the BigBIO library., Evaluation of xMEN on datasets loaded from BigBIO dataloaders., , # xMEN Benchmark Results

[https://doi.org/10.5061/dryad.15dv41p6h](https://doi.org/10.5061/dryad.15dv41p6h)

## Description of the data and file structure

Evaluation of xMEN candidate generation + re-ranking (weakly and fully supervised) on various benchmark datasets.

### Files and variables

Each file refers to a subset of a particular benchmark dataset.

For each subset, we run candidate generation + weakly-supervised ([filename]_ws.csv) or fully-supervised ([filename]_fs.csv) 

| Benchmark | Subset | file\_name |
| :---------- | :---------- | :------------------ |
| Mantra | German | mantra\_de |
| | English | mantra\_en |
| | Spanish | mantra\_es |
| | French | mantra\_fr |
| | Dutch | mantra\_nl |
| Quaero | - | quaero |
| BRONCO | Diagnoses | bronco\_diagnoses |
| | Medications | bronco\_medica...