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README.md
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dtype: string
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- name: embeddings
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sequence: float64
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- name: citation_number
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dtype: string
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splits:
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- name: train
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num_bytes: 42684850
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num_examples: 1414
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download_size: 25068229
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dataset_size: 42684850
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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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tags:
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- legal
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- embeddings
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- text-data
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license: mit
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# Dataset Card for Pak-Law Dataset
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## Description
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This dataset contains legal documents related to Pakistani law. It includes text data, case details, embeddings generated using the `mixedbread-ai/mxbai-embed-large-v1` model, and citation numbers.
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## Dataset Structure
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The dataset has the following features:
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- `text`: The text of the legal documents.
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- `case_details`: Details about the legal cases.
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- `embeddings`: Embeddings of the text, generated using the `mixedbread-ai/mxbai-embed-large-v1` model.
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- `citation_number`: Citation numbers for the legal cases.
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The dataset contains 1,414 rows.
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## Usage
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You can load the dataset using the `datasets` library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("your-username/your-dataset-name")
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