Datasets:
Sub-tasks:
named-entity-recognition
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
License:
Commit
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Parent(s):
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Update README.md
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README.md
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## Dataset Creation
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Other type
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<img src="https://raw.githubusercontent.com/ncats/epi4GARD/master/EpiExtract4GARD/datasets/EpiCustomV3/EpiSet%20Flowchart%20FINAL.png" height="100">
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*Figure 1:* Creation of EpiSet4NER by NIH/NCATS
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Comparing the programmatically labeled test set to the manually corrected test set allowed us to measure the precision, recall, and F1 of the programmatic labeling.
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*Table 1:* Programmatic labeling of EpiSet4NER
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| Evaluation Level | Entity | Precision | Recall | F1 |
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|:----------------:|:------------------------:|:---------:|:------:|:-----:|
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| Entity-Level | Overall | 0.559 | 0.662 | 0.606 |
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## Dataset Creation
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*Figure 1:* Creation of EpiSet4NER by NIH/NCATS
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Comparing the programmatically labeled test set to the manually corrected test set allowed us to measure the precision, recall, and F1 of the programmatic labeling.
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*Table 1:* Programmatic labeling of EpiSet4NER
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| Evaluation Level | Entity | Precision | Recall | F1 |
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|:----------------:|:------------------------:|:---------:|:------:|:-----:|
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| Entity-Level | Overall | 0.559 | 0.662 | 0.606 |
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