add readme

README.md

@@ -5,3 +5,28 @@ license: cc-by-4.0
 Touché23-ValueEval
 ==================
 [link](https://webis.de/data.html#touche23-valueeval)
+
+Usage:
+```
+from datasets import load_dataset
+import ast
+
+def convert_labels(example):
+    example["Labels"] = [i for i in ast.literal_eval(example["Labels"])]
+    return example
+
+valueeval23 = load_dataset("webis/Touche23-ValueEval")
+
+training_dataset = valueeval23["training"].map(convert_labels)
+```
+
+See available dataset parts:
+```
+valueeval23
+```
+
+The `Labels` for each example is an array of 1s (argument resorts to value) and 0s (argument does not resort to value). The order is the same as in the original files:
+```
+labels = ["Self-direction: thought", "Self-direction: action", "Stimulation", "Hedonism", "Achievement", "Power: dominance", "Power: resources", "Face", "Security: personal", "Security: societal", "Tradition", "Conformity: rules", "Conformity: interpersonal", "Humility", "Benevolence: caring", "Benevolence: dependability", "Universalism: concern", "Universalism: nature", "Universalism: tolerance", "Universalism: objectivity"]
+```
+