README.md

---
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: unfairness_level
    dtype: string
  - name: sentence_length
    dtype: int64
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 1348431
    num_examples: 7946
  - name: validation
    num_bytes: 168316
    num_examples: 1050
  - name: test
    num_bytes: 172556
    num_examples: 1045
  download_size: 794924
  dataset_size: 1689303
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
# TOS_DatasetV3

## Dataset Description

TOS_DatasetV3 is a dataset designed for analyzing the unfairness of terms of service (ToS) clauses. It includes sentences from various terms of service agreements categorized into three unfairness levels: **clearly_fair**, **potentially_unfair**, and **clearly_unfair**. This dataset aims to aid in the development of models that can assess the fairness of legal documents.

## Dataset Structure

The dataset consists of the following columns:

- `sentence`: A string representing a sentence from a terms of service document.
- `unfairness_level`: A string indicating the unfairness classification of the sentence. The possible values are:
  - `clearly_fair`
  - `potentially_unfair`
  - `clearly_unfair`

### Features

- **Features:**
  - name: sentence
    dtype: string
  - name: unfairness_level
    dtype: string
  - name: sentence_length
    dtype: int64
  - name: __index_level_0__
    dtype: int64

## Splits

The dataset is divided into three splits:

- **Train**: Used for training models (7946 examples).
- **Validation**: Used for validating model performance during training (1050 examples).
- **Test**: Used for testing model performance after training (1045 examples).

### Example

Here's a sample from the dataset:

| sentence                          | unfairness_level   |
|-----------------------------------|---------------------|
| "You agree to the terms."        | clearly_fair        |
| "We reserve the right to change." | potentially_unfair   |
| "No refunds will be issued."     | clearly_unfair      |

## Usage

This dataset can be used for various natural language processing tasks, particularly in the context of legal text analysis, fairness assessment, and model training for detecting unfair terms in contracts.

## How to Load the Dataset

You can load the dataset using the `datasets` library from Hugging Face:

```python
from datasets import load_dataset

dataset = load_dataset("TOS_DatasetV3")
```
## License
This dataset is licensed under the MIT License. Please see the LICENSE file for more details.

## Citation

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

```
@dataset{TOS_DatasetV3,
  author = {Himanshu Mohanty},
  title = {TOS_DatasetV3},
  year = {2024},
  url = {https://huggingface.co/datasets/TOS_DatasetV3}
}