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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ## Dataset Structure
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+
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+ The dataset consists of the following columns:
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+
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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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+
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+ ### Features
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+
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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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+
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+ ## Splits
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+
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+ The dataset is divided into three splits:
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+
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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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+
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+ ### Example
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+
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+ Here's a sample from the dataset:
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+
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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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+
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+ ## Usage
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+
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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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+
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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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+
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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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+
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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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+ }