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Datasets:
ncats
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EpiSet4NER-v1

Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K<n<1M
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@@ -76,7 +76,7 @@ The data fields are the same among all splits.
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  ## Dataset Creation
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  ![EpiSet Creation Flowchart](https://raw.githubusercontent.com/ncats/epi4GARD/master/EpiExtract4GARD/datasets/EpiCustomV3/EpiSet%20Flowchart%20FINAL.png)
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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="200">
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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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  ## Dataset Creation
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  ![EpiSet Creation Flowchart](https://raw.githubusercontent.com/ncats/epi4GARD/master/EpiExtract4GARD/datasets/EpiCustomV3/EpiSet%20Flowchart%20FINAL.png)
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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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