README.md

---
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: unfairness_level
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 859666
    num_examples: 5378
  - name: validation
    num_bytes: 73545
    num_examples: 415
  - name: test
    num_bytes: 175734
    num_examples: 1038
  download_size: 547326
  dataset_size: 1108945
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: mit
language:
- en
pretty_name: TOS_Dataset
---

# 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:

```python
from datasets import load_dataset

dataset = load_dataset("CodeHima/TOS_Dataset")
```

## Example

```python
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},
}