added legislation and regs to readme

README.md

@@ -15,7 +15,7 @@ Bulk open-access helps avoid asymmetrical access-to-justice and amplification of
 results when commercial actors leverage proprietary 
 legal datasets for profit -- a particular concern in the border control setting.
 
-The Canadian Legal Data dataset includes the unofficial full text of thousands of court and tribunal 
+The Canadian Legal Data dataset includes the unofficial text of legislation, regulations, and thousands of court and tribunal 
 decisions at the federal level. It can be used for legal analytics (i.e. identifying patterns in legal 
 decision-making), to test ML and NLP tools on a bilingual dataset of Canadian legal materials, and to 
 pretrain language models for various tasks.
@@ -45,6 +45,12 @@ pretrain language models for various tasks.
 
 - SST: Full text of Social Security Tribunal of Canada decisions, baed on the Refugee Law Lab's [Social Security Tribunal Bulk Decisions Dataset](https://refugeelab.ca/bulk-data/sst/) (2013 – present) (updated Apr 1 2024)
 
+#### Legislation & Regulations
+
+- LEGISLATION-FED: Text of Federal legislation in the [Consolidated Acts](https://laws-lois.justice.gc.ca/eng/acts/) maintained by the Federal Department of Justice, as reproduced in the Refugee Law Lab's [Federal Bulk Legislation Dataset](https://refugeelab.ca/bulk-data/legislation-fed/) (updated May 13 2024)
+
+- REGULATIONS-FED: Text of Federal legislation in the [Consolidated Regulations](https://laws-lois.justice.gc.ca/eng/regulations/) maintained by the Federal Department of Justice, as reproduced in the Refugee Law Lab's [Federal Bulk Regulations Dataset](https://refugeelab.ca/bulk-data/regulations-fed/) (updated May 13 2024)
+
 
 ### Data Fields
 
@@ -57,11 +63,11 @@ the Supreme Court of Canada provided both official reported citation and neutral
 
 - year (int32): Year of the document date, which can be useful for filtering
 
-- name (string): Name of the document, typically the style of cause of a case
+- name (string): Name of the document, typically the style of cause of cases and the short title for legislation and regulations
 
 - language (string): Language of the document, "en" for English, "fr" for French, "" for no language specified
 
-- document_date (string): Date of the document, typically the date of a decision (yyyy-mm-dd)
+- document_date (string): Date of the document (yyyy-mm-dd)
 
 - source_url (string): URL where the document was scraped and where the official version can be found
 
@@ -102,8 +108,8 @@ To load only a specific data instance, for example only the SCC data instance:
 ### Curation Rationale
 
 The dataset includes all the [Bulk Legal Data](https://refugeelab.ca/bulk-data) made publicly available by 
-the Refugee Law Lab. The Lab has focused on federal courts (e.g. Supreme Court of Canada, Federal Court of 
-Appeal, Federal Court) as well as federal administrative tribunals (e.g. Immigration and Refugee Board) because 
+the Refugee Law Lab. The Lab has focused on federal law and regulations, federal courts (e.g. Supreme Court of Canada, Federal Court of 
+Appeal, Federal Court) and federal administrative tribunals (e.g. Immigration and Refugee Board) because 
 immigration and refugee law, which is the main area of interest of the Lab, operates mostly at the federal level.
 
 ### Source Data
@@ -116,14 +122,14 @@ 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 principle mandates 
-that court (and some tribunal) materials be made available to the public, there are privacy risks when these 
+otherwise released publicly by the relevant government body, 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 some of 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
 documents in this dataset. For example, imagine a repressive government working with private data aggregators to 
 collect information that is used to target families of political opponents who have sought asylum abroad.
 One mechanism used to try to achieve a balance between the open court principle 
-and privacy is that in publishing the documents in this dataset, the relevant courts and tribunals prohibit 
+and privacy is that in publishing court documents in this dataset, the relevant courts and tribunals prohibit 
 search engines from indexing the documents. Users of this data are required to do the same.
 
 ### Non-Official Versions
@@ -167,11 +173,15 @@ The dataset reflects many biases present in legal decision-making, including bia
 
 ### Other Known Limitations
 
+Legislation and regulations do not include tables, annexes or schedules. Original sources should be consulted if these are relevant.
+
 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 applies 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 
+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