improved dataset card

README.md

@@ -4,50 +4,51 @@ annotations_creators:
 language_creators:
 - found
 language:
-- bg
-- cs
-- da
-- de
-- el
+- bg 
+- cs 
+- da 
+- de 
+- el 
 - en
-- es
-- et
-- fi
-- fr
+- es 
+- et 
+- fi 
+- fr 
 - ga
-- hr
-- hu
-- it
-- lt
-- lv
+- hr 
+- hu 
+- it 
+- lt 
+- lv 
 - mt
-- nl
-- pl
-- pt
-- ro
-- sk
-- sl
+- nl 
+- pl 
+- pt 
+- ro 
+- sk 
+- sl 
 - sv
 license:
 - cc-by-4.0
 multilinguality:
 - multilingual
+paperswithcode_id: null
+pretty_name: "LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding"
 size_categories:
-- 1K<n<100K
+- 10K<n<100K
 source_datasets:
-- original
+- extended
 task_categories:
-- token-classification
 - text-classification
+- token-classification
 task_ids:
 - multi-class-classification
 - multi-label-classification
-- named-entity-recognition
 - topic-classification
-pretty_name: 'LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding'
-tags:
-- named-entity-recognition-and-classification
-- judgement-prediction
+- text-classification-other-judgement-prediction
+- named-entity-recognition
+- named entity recognition and classification (NERC)
+
 ---
 
 # Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
@@ -90,6 +91,12 @@ tags:
 
 The dataset consists of 11 diverse multilingual legal NLU tasks. 6 tasks have one single configuration and 5 tasks have two or three configurations. This leads to a total of 18 tasks (8 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-classification tasks).
 
+Use the dataset like this:
+```python
+from datasets import load_dataset
+dataset = load_dataset("joelito/lextreme", "swiss_judgment_prediction")
+```
+
 ### Supported Tasks and Leaderboards
 
 The dataset supports the tasks of text classification and token classification.