Datasets:

refugee-law-lab
/

canadian-legal-data

@@ -10,7 +10,7 @@ size_categories:
 ## Dataset Summary
-The [Refugee Law Lab](https://refugeelab.ca) supports bulk open-access to Canada legal data to facilitate research and advocacy.
 Bulk open-access helps avoid asymmetrical access-to-justice and amplification of marginalization that
 results when commercial actors leverage proprietary
 legal datasets for profit -- a particular concern in the border control setting.
@@ -101,7 +101,7 @@ Details (including links to github repos with code) are available via links on t
 ### Personal and Sensitive Information
 Documents may include personal and sensitive information. All documents have been published online or
-otherwise released publicly by the relevant court or tribunal. While the open court prinple mandates
 that court (and some tribunal) materials be made available to the public, there are privacy risks when these
 materials become easily and widely available. These privacy risks are particularly acute for marginalized groups,
 including refugees and other non-citizens whose personal and sensitive information is included in some of the
@@ -112,11 +112,11 @@ search engines from indexing the documents. Users of this data are required to d
 ### Non-Official Versions
 Documents included in this dataset are unofficial copies. For official versions published by
-the Goverment of Canada, please see the source URLs.
 ### Non-Affiliation / Endorsement
-The reproduction of documents in this dataset was not done in affiliation with, or with the endoresment of
 the government of Canada.
 ## Considerations for Using the Data
@@ -149,7 +149,8 @@ religion, disability, socio-economic class, etc.
 Publicly available court and tribunal decisions are not a representative sample of legal decision-making -- and in some cases may reflect
 significantly skewed samples. To give one example, the vast majority of Federal Court judicial reviews of refugee determinations involve negative
 first instance decisions even thought most first instance decisions are positive (this occurs because the government seldom apply for judicial
-reviews of positive first instance decisions whereas claimants frequently apply for judicial review of negative decisions. Due to the ways that
 legal datasets may be skewed, users of this dataset are encouraged to collaborate with or consult domain experts.
 ## Additional Information
@@ -169,7 +170,7 @@ not make the data available in formats or locations that can be indexed by searc
 We make no warranties or representations that the data included in this dataset is complete or accurate. Data
 were obtained through academic research projects, including projects that use automated processes.
 While we try to make the data as accurate as possible, our methodologies may result in
-inaccurate or outdated datas. As such, data should be viewed as preliminary information aimed to prompt
 further research and discussion, rather than as definitive information.
 ### Dataset Curators
@@ -185,4 +186,4 @@ Sean Rehaag, "Refugee Law Lab: Canadian Legal Data" (2023) online: Hugging Face:
 This project draws on research supported by the Social Sciences and Humanities Research Council and the Law Foundation of Ontario.
 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
-Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset" (2022), online: arXiv: https://arxiv.org/abs/2207.00220)

 ## Dataset Summary
+The [Refugee Law Lab](https://refugeelab.ca) supports bulk open-access to Canadian legal data to facilitate research and advocacy.
 Bulk open-access helps avoid asymmetrical access-to-justice and amplification of marginalization that
 results when commercial actors leverage proprietary
 legal datasets for profit -- a particular concern in the border control setting.
 ### Personal and Sensitive Information
 Documents may include personal and sensitive information. All documents have been published online or
+otherwise released publicly by the relevant court or tribunal. While the open court principle mandates
 that court (and some tribunal) materials be made available to the public, there are privacy risks when these
 materials become easily and widely available. These privacy risks are particularly acute for marginalized groups,
 including refugees and other non-citizens whose personal and sensitive information is included in some of the
 ### Non-Official Versions
 Documents included in this dataset are unofficial copies. For official versions published by
+the Government of Canada, please see the source URLs.
 ### Non-Affiliation / Endorsement
+The reproduction of documents in this dataset was not done in affiliation with, or with the endorsement of
 the government of Canada.
 ## Considerations for Using the Data
 Publicly available court and tribunal decisions are not a representative sample of legal decision-making -- and in some cases may reflect
 significantly skewed samples. To give one example, the vast majority of Federal Court judicial reviews of refugee determinations involve negative
 first instance decisions even thought most first instance decisions are positive (this occurs because the government seldom apply for judicial
+reviews of positive first instance decisions whereas claimants frequently apply for judicial review of negative decisions). As such, generative models
+built partly on this dataset risk amplifying negative refugee decision-making (rather than more common positive refugee decision-making). Due to the ways that
 legal datasets may be skewed, users of this dataset are encouraged to collaborate with or consult domain experts.
 ## Additional Information
 We make no warranties or representations that the data included in this dataset is complete or accurate. Data
 were obtained through academic research projects, including projects that use automated processes.
 While we try to make the data as accurate as possible, our methodologies may result in
+inaccurate or outdated data. As such, data should be viewed as preliminary information aimed to prompt
 further research and discussion, rather than as definitive information.
 ### Dataset Curators
 This project draws on research supported by the Social Sciences and Humanities Research Council and the Law Foundation of Ontario.
 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
+Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset" (2022), online: arXiv: https://arxiv.org/abs/2207.00220).