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README.md
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- split: test
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path: data/test-*
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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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- name: sentence_length
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dtype: int64
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- name: __index_level_0__
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dtype: int64
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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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### 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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## 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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@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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}
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