---
license: cc-by-4.0
task_categories:
- text-classification
- zero-shot-classification
language:
- en
tags:
- Human Values
- Value Detection
- Multi-Label
pretty_name: Human Value Detection Dataset
size_categories:
- 1K<n<10K
---

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"]
```