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README.md
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This dataset includes the unofficial full text of thousdands of court and tribunal decisions at the federal level.
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It can be used for legal analytics (e.g. identifying patterns in legal decision-making), to test ML and NLP tools
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on a bilingual
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### Languages
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### Curation Rationale
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Dataset Curators
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### Licensing Information
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### Citation Information
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This dataset includes the unofficial full text of thousdands of court and tribunal decisions at the federal level.
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It can be used for legal analytics (e.g. identifying patterns in legal decision-making), to test ML and NLP tools
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on a bilingual dataset of Canadian legal materials, and to pretrain language models.
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### Languages
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### Curation Rationale
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The dataset includes all the Bulk Legal Data made publicly available by the Refugee Law Lab. The Lab has
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focused on federal courts (e.g. Supreme Court of Canada, Federal Court of Appeal, Federal Court) as well as
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federal administrative tribunals (e.g. Immigration and Refugee Board) because immigration and refugee law,
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which is the main area of interest of the Lab, operates mostly at a federal level.
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### Source Data
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#### Initial Data Collection and Normalization
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Details (including links to github repos with code) are available via links for the Bulk Legal Data page
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### Personal and Sensitive Information
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Documents may include personal and sensitive information. All documents have been published or released
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publicly by the relevant court or tribunal.
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## Considerations for Using the Data
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### Dataset Curators
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Sean Rehaag, Osgoode Hall Law School Professor & Director of the Refugee Law Lab
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### Licensing Information
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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NOTE: Users must also comply with upstream licensing for the SCC, FCA & FC data instances.
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### Citation Information
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Sean Rehaag, "Refugee Law Lab: Canadian Legal Data" (2023) online: Huggingface: <https://huggingface.co/datasets/refugee-law-lab/canadian-legal-data>.
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### Acknowledgements
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This project draws on research supported by the Social Sciences and Humanities Research Council and the Law Foundation of Ontario.
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The project was inspired in part by the excellent prior work by pile-of-law (Peter Henderson et al, "Pile of Law: Learning
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Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset" (2022), online: arXiv: https://arxiv.org/abs/2207.00220)
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