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README.md

@@ -241,4 +241,20 @@ configs:
     path: varierrnli/validation-*
   - split: test
     path: varierrnli/test-*
+source_datasets: []
 ---
+
+# lewidi
+
+Learning with Disagreements (LeWiDi, SemEval-2023 Task 11 and its 2025 edition): soft labels from every annotator.
+
+One config per dataset: md_agreement (offensiveness, 5 annotators), hs_brexit (hate speech, 6), armis
+(Arabic misogyny and sexism, 3), conv_abuse (abuse in user turns of chatbot dialogues, 3 or more), csc
+(sarcasm rated 1-6), mp (MultiPICo irony, multilingual) and varierrnli (NLI where each annotator may accept
+several labels). ``soft_label`` lists the share of annotators per label in ``labels`` order; varierrnli
+instead gives, per NLI label, the share of annotators who accepted it. Text fields are unpacked from the
+harmonized JSON. The Paraphrase set (an 11-level scale over 500 items) is left out. The original datasets'
+licenses and terms apply unchanged; see the LeWiDi repository (https://github.com/Le-Wi-Di/le-wi-di.github.io)
+and each dataset's paper.
+
+Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/upload_repackaged.py](https://github.com/sileod/tasksource/blob/main/scripts/upload_repackaged.py).