Datasets:

clarin-knext
/

wsd_polish_datasets

Tasks:

Token Classification

Sub-tasks:

word-sense-disambiguation

Languages:

Size:

License:

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ajanz commited on Aug 18, 2023

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@@ -57,7 +57,7 @@ task_ids:
 ### Dataset Summary
 `WSD Polish Datasets` is a comprehensive benchmark for word sense disambiguation (WSD) classification task written in low-resource language Polish.
-It consists of 6 distinct datasets, manually annotated based on plWordNet-4.2:
 - KPWr
 - KPWr-100
 - Sherlock (SPEC)
@@ -202,15 +202,19 @@ Description of json keys:
 #### Annotation process
-[More Information Needed]
 #### Who are the annotators?
-[More Information Needed]
 ### Personal and Sensitive Information
-[More Information Needed]
 ## Considerations for Using the Data

 ### Dataset Summary
 `WSD Polish Datasets` is a comprehensive benchmark for word sense disambiguation (WSD) classification task written in low-resource language Polish.
+It consists of 6 distinct datasets, manually annotated based on plWordNet-4.5:
 - KPWr
 - KPWr-100
 - Sherlock (SPEC)
 #### Annotation process
+* 2+1 annotation process with inter-annotator agreement score over 0.6 PSA
+* annotated with [plWordNet 4.5](http://plwordnet.pwr.wroc.pl/wordnet/)
+* software: [WordNet-Loom](https://clarin-pl.eu/dspace/handle/11321/275) and [Inforex](https://clarin-pl.eu/dspace/handle/11321/13)
+* both single-word and multi-word expressions annotated
+* full-text sense annotation (excluding KPWr)
 #### Who are the annotators?
+- professional linguists (mention all people involved)
 ### Personal and Sensitive Information
+The datasets do not contain any personal or sensitive information.
 ## Considerations for Using the Data