license: cc-by-nc-4.0
language:
- en
- fr
size_categories:
- 10K<n<100K
Refugee Law Lab: Canadian Legal Data
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
Languages
Many documents are available in both English and French. Some are only available in one of the two languages.
Dataset Structure
Data Instances
SCC: Full text of all Supreme Court of Canada decisions, based on the Refugee Law Lab's Supreme Court of Canada Bulk Decisions Dataset (1877 – 2023)
FCA: Full text of all Federal Court of Appeal (Canada) decisions that have been given a neutral citation, based on the Refugee Law Lab's Federal Court of Appeal Bulk Decisions Dataset (2001-2023)
FC: Full text of all Federal Court (Canada) decisions that have been given a neutral citation, based on the Refugee Law Lab's Federal Court Bulk Decisions Dataset (2001-2023)
Data Fields
citation1 (string): Legal citation for the document (neutral citation where available)
citation2 (string): For some documents multiple citations are available (e.g. for some periods the Supreme Court of Canada provided both official reported citation and neutral citation)
data_instance (string): Name of the data instance (e.g. "SCC", "FCA", "FC", etc)
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
language (string): Language of the document, "en" for English, "fr" for French
document_date (string): Date of the document, typically the date of a decision (yyyy-mm-dd)
source_url (string): URL where the document was scraped and where the official version can be found
scraped_timestamp (string): Date the document was scraped (yyyy-mm-dd)
unofficial_text (string): Full text of the document (unofficial version, for official version see source_url)
other (string): Field for additional metadata in JSON format, currently a blank string for most datasets
Data Splits
The data has not been split, so all files are in the train split. If splitting for training/validation, some thought should be given to whether it is necessary to limit to one language or to ensure that both English and French versions of the same documents are put in the same split.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]