TOS_Dataset

This dataset contains clauses from Terms of Service (ToS) documents with annotations indicating the fairness level of each clause. The dataset includes clauses labeled as clearly_fair, potentially_unfair, and clearly_unfair.

Dataset Summary

The dataset comprises clauses extracted from various ToS documents. Each clause is annotated with a fairness level, indicating whether it is clearly fair, potentially unfair, or clearly unfair.

Supported Tasks

This dataset can be used for multi-class classification tasks, specifically for classifying the fairness of clauses in ToS documents.

Languages

The dataset is in English.

Dataset Structure

The dataset is split into three sets: train, validation, and test.

Data Fields

• sentence: The clause from the ToS document.
• unfairness_level: The fairness level assigned to the clause. Possible values are clearly_fair, potentially_unfair, and clearly_unfair.

Data Splits

Split	Count
Train	5.38k rows
Validation	415 rows
Test	1.04k rows

Usage

To load the dataset:

from datasets import load_dataset

dataset = load_dataset("CodeHima/TOS_Dataset")

Example

from datasets import load_dataset

dataset = load_dataset("CodeHima/TOS_Dataset")

for split in ['train', 'validation', 'test']:
    print(f"Example from {split} split:")
    print(dataset[split][0])

License

This dataset is licensed under the MIT. Please see the LICENSE file for more details.

Citation

If you use this dataset in your research, please cite it as follows:

@dataset{CodeHima_TOS_Dataset,
  author = {CodeHima},
  title = {TOS_Dataset},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/CodeHima/TOS_Dataset},
}