File size: 3,072 Bytes
7c52232 91b60f1 7c52232 e4dadd0 8cbd3c9 7c52232 e4dadd0 7c52232 e4dadd0 7c52232 e4dadd0 7c52232 4da9ea3 907065a 4da9ea3 05c5be1 4da9ea3 f0ee98f 4da9ea3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
language:
- en
dataset_info:
features:
- name: sentence
dtype: string
- name: unfairness_level
dtype: string
splits:
- name: train
num_bytes: 1221140
num_examples: 7945
- name: validation
num_bytes: 151516
num_examples: 1050
- name: test
num_bytes: 155836
num_examples: 1045
download_size: 708831
dataset_size: 1528492
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
## 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).
## Class Split
### 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")
```
## Dataset Generation
## 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}
} |