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@@ -132,8 +132,8 @@ the government of Canada.
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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 (https://www.scc-csc.ca/terms-avis/notice-enonce-eng.aspx)[SCC],
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- (https://www.fca-caf.gc.ca/en/pages/important-notices)[FCA] & (https://www.fct-cf.gc.ca/en/pages/important-notices)[FC] data instances, as
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  well as requests on source urls not to allow indexing of the documents by search engines (so do
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  not make the data available in other formats or locations that can be indexed by search engines).
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@@ -157,5 +157,5 @@ Sean Rehaag, "Refugee Law Lab: Canadian Legal Data" (2023) online: HuggingFace:
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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 (https://huggingface.co/datasets/pile-of-law/pile-of-law)[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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  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](https://www.scc-csc.ca/terms-avis/notice-enonce-eng.aspx),
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+ [FCA](https://www.fca-caf.gc.ca/en/pages/important-notices) & [FC](https://www.fct-cf.gc.ca/en/pages/important-notices) data instances, as
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  well as requests on source urls not to allow indexing of the documents by search engines (so do
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  not make the data available in other formats or locations that can be indexed by search engines).
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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](https://huggingface.co/datasets/pile-of-law/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)