Datasets:
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"] | |
``` | |