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README.md
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---
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license: mit
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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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dataset_info:
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features:
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- name: uuid
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dtype: string
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- name: title
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dtype: string
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- name: parties
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dtype: string
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- name: start_date
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dtype: string
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- name: end_date
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dtype: string
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- name: full_text
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dtype: string
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- name: confidentiality
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dtype: string
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- name: privacy
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dtype: string
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- name: tdm
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dtype: string
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- name: pricing
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dtype: string
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- name: content
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dtype: string
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- name: term
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dtype: string
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splits:
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- name: train
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num_bytes: 19795644
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num_examples: 789
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download_size: 7506387
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dataset_size: 19795644
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---
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license: mit
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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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dataset_info:
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features:
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- name: uuid
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dtype: string
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- name: title
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dtype: string
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- name: parties
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dtype: string
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- name: start_date
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dtype: string
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- name: end_date
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+
dtype: string
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- name: full_text
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+
dtype: string
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- name: confidentiality
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+
dtype: string
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- name: privacy
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+
dtype: string
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+
- name: tdm
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+
dtype: string
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+
- name: pricing
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+
dtype: string
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- name: content
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dtype: string
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- name: term
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dtype: string
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splits:
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- name: train
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num_bytes: 19795644
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num_examples: 789
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download_size: 7506387
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dataset_size: 19795644
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language:
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- en
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---
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This is a dataset for experiments related to legal document processing. It contains 801 legal contracts from the [California Digital Libary](https://cdlib.org/services/collections/licensed/resources/redacted-license-agreements/) and [SPARC](https://sparcopen.org/our-work/big-deal-knowledge-base/contracts-library/).
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The PDF files were converted to markdown using Docling. The markdown headers are used to identify sections of interest.
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