Added dataset card

README.md

@@ -1,3 +1,74 @@
 ---
-license: cc-by-sa-4.0
+language:
+- pl
+license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-classification
+task_ids:
+- topic-classification
+pretty_name: 8TAGS
+dataset_info:
+  features:
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          0: film
+          1: history
+          2: food
+          3: medicine
+          4: motorization
+          5: work
+          6: sport
+          7: technology
+  splits:
+  - name: train
+  - name: validation
+  - name: test
 ---
+
+# 8TAGS
+
+### Dataset Summary
+
+A Polish topic classification dataset consisting of headlines from social media posts. It contains about 50,000 sentences annotated with 8 topic labels: film, history, food, medicine, motorization, work, sport and technology. This dataset was created automatically by extracting sentences from headlines and short descriptions of articles posted on Polish social networking site **wykop.pl**. The service allows users to annotate articles with one or more tags (categories). Dataset represents a selection of article sentences from 8 popular categories. The resulting corpus contains cleaned and tokenized, unambiguous sentences (tagged with only one of the selected categories), and longer than 30 characters.
+
+### Data Instances
+
+Example instance:
+```
+{
+  "sentence": "Kierowca był nieco zdziwiony że podróżując sporo ponad 200 km / h zatrzymali go policjanci.", 
+  "label": "4"
+}
+```
+
+### Data Fields
+
+- sentence: sentence text
+- label: label identifier corresponding to one of 8 topics
+
+### Citation Information
+
+```
+@inproceedings{dadas-etal-2020-evaluation,
+  title = "Evaluation of Sentence Representations in {P}olish",
+  author = "Dadas, Slawomir  and Pere{\l}kiewicz, Micha{\l} and Po{\'s}wiata, Rafa{\l}",
+  booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
+  month = may,
+  year = "2020",
+  address = "Marseille, France",
+  publisher = "European Language Resources Association",
+  url = "https://aclanthology.org/2020.lrec-1.207",
+  pages = "1674--1680",
+  language = "English",
+  ISBN = "979-10-95546-34-4",
+}
+```