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  ## Model Description
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  - **Developed by:** Hendrycks et al.
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- - **Shared by [Optional]:** More information needed
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  - **Model type:** Question Answering
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  - **Language(s) (NLP):** en
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  - **License:** cc-by-4.0
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  - Associated Paper: [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://arxiv.org/abs/2103.06268)
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  - Project website: [Contract Understanding Atticus Dataset (CUAD)](https://www.atticusprojectai.org/cuad)
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  # Uses
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  ## Direct Use
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  This model can be used for the task of Question Answering on Legal Documents.
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  Read: [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://arxiv.org/abs/2103.06268)
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  for detailed information on training procedure, dataset preprocessing and evaluation.
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- ## Training Data
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  See [CUAD dataset card](https://huggingface.co/datasets/cuad) for more information.
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- ## Training Procedure
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- More information needed
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- ### Preprocessing
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- More information needed
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- ### Speeds, Sizes, Times
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- More information needed
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  # Evaluation
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  ## Testing Data, Factors & Metrics
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  ### Testing Data
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  See [CUAD dataset card](https://huggingface.co/datasets/cuad) for more information.
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- ### Factors
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- More information needed
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- ### Metrics
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- More information needed
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- ## Results
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- More information needed
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- # Model Examination
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- More information needed
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- - **Hardware Type:** More information needed
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- - **Hours used:** More information needed
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- - **Cloud Provider:** More information needed
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- - **Compute Region:** More information needed
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- - **Carbon Emitted:** More information needed
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- # Technical Specifications [optional]
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- ## Model Architecture and Objective
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- More information needed
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- ## Compute Infrastructure
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- More information needed
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- ### Hardware
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- Used V100/P100 from Google Colab Pro
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  ### Software
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  Python, Transformers
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  # Citation
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  **BibTeX:**
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  ```
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  @article{hendrycks2021cuad,
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  }
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  ```
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- # Glossary [optional]
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- More information needed
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- # More Information [optional]
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- More information needed
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- # Model Card Authors [optional]
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- Mohammed Rakib in collaboration with Ezi Ozoani and the Hugging Face team
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- # Model Card Contact
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- More information needed
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  # How to Get Started with the Model
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  Use the code below to get started with the model.
 
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  ## Model Description
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  - **Developed by:** Hendrycks et al.
 
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  - **Model type:** Question Answering
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  - **Language(s) (NLP):** en
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  - **License:** cc-by-4.0
 
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  - Associated Paper: [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://arxiv.org/abs/2103.06268)
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  - Project website: [Contract Understanding Atticus Dataset (CUAD)](https://www.atticusprojectai.org/cuad)
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  # Uses
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  ## Direct Use
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  This model can be used for the task of Question Answering on Legal Documents.
 
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  Read: [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://arxiv.org/abs/2103.06268)
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  for detailed information on training procedure, dataset preprocessing and evaluation.
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+ ## Training Data, Procedure, Preprocessing, etc.
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  See [CUAD dataset card](https://huggingface.co/datasets/cuad) for more information.
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  # Evaluation
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  ## Testing Data, Factors & Metrics
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  ### Testing Data
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  See [CUAD dataset card](https://huggingface.co/datasets/cuad) for more information.
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  ### Software
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  Python, Transformers
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  # Citation
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  **BibTeX:**
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  ```
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  @article{hendrycks2021cuad,
 
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  }
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  ```
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  # How to Get Started with the Model
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  Use the code below to get started with the model.