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--- |
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language: |
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- en |
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dataset_info: |
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features: |
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- name: sentence |
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dtype: string |
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- name: unfairness_level |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1221140 |
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num_examples: 7945 |
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- name: validation |
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num_bytes: 151516 |
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num_examples: 1050 |
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- name: test |
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num_bytes: 155836 |
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num_examples: 1045 |
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download_size: 708831 |
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dataset_size: 1528492 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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# TOS_DatasetV3 |
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## Dataset Description |
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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. |
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## Dataset Structure |
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The dataset consists of the following columns: |
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- `sentence`: A string representing a sentence from a terms of service document. |
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- `unfairness_level`: A string indicating the unfairness classification of the sentence. The possible values are: |
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- `clearly_fair` |
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- `potentially_unfair` |
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- `clearly_unfair` |
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### Features |
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- **Features:** |
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- name: sentence |
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dtype: string |
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- name: unfairness_level |
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dtype: string |
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## Splits |
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The dataset is divided into three splits: |
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- **Train**: Used for training models (7946 examples). |
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- **Validation**: Used for validating model performance during training (1050 examples). |
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- **Test**: Used for testing model performance after training (1045 examples). |
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## Class Split |
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### Example |
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Here's a sample from the dataset: |
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| sentence | unfairness_level | |
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|-----------------------------------|---------------------| |
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| "You agree to the terms." | clearly_fair | |
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| "We reserve the right to change." | potentially_unfair | |
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| "No refunds will be issued." | clearly_unfair | |
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## Usage |
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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. |
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## How to Load the Dataset |
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You can load the dataset using the `datasets` library from Hugging Face: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("TOS_DatasetV3") |
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``` |
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## Dataset Generation |
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## License |
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This dataset is licensed under the MIT License. Please see the LICENSE file for more details. |
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## Citation |
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If you use this dataset in your research, please cite it as follows: |
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``` |
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@dataset{TOS_DatasetV3, |
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author = {Himanshu Mohanty}, |
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title = {TOS_DatasetV3}, |
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year = {2024}, |
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url = {https://huggingface.co/datasets/TOS_DatasetV3} |
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} |
