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README.md

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+---
+language:
+  - it
+language_details: 'it-IT'
+license: cc-by-nc-sa-4.0
+task_ids:
+  - sentiment-analysis
+task_categories:
+  - text-classification
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "train.jsonl"
+  - split: test
+    path: "test.jsonl"
+---
+
+SENTIPOLC 2016 dataset
+
+The SENTIPOLC 2016 dataset contains 9410 tweets annotated for subjectivity, overall and literal polarity, and irony.
+The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.
+
+Original files available here:
+https://live.european-language-grid.eu/catalogue/corpus/7479/download/