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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
138
  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)