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README.md
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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language:
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- en
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- fr
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size_categories:
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- 10K<n<100K
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---
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# Refugee Law Lab: Canadian Legal Data
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Many documents are available in both English and French. Some are only available in one of the two languages.
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## Dataset Structure
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### Data Instances
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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)
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FCA: Full text of all Federal Court of Appeal (Canada) decisions that have been given a neutral citation, based on
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the Refugee Law Lab's Federal Court of Appeal Bulk Decisions Dataset (2001-2023)
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FC: Full text of all Federal Court (Canada) decisions that have been given a neutral citation, based on
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the Refugee Law Lab's Federal Court Bulk Decisions Dataset (2001-2023)
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### Data Fields
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citation1 (string): Legal citation for the document (neutral citation where available)
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citation2 (string): For some documents multiple citations are available (e.g. for some periods
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the Supreme Court of Canada provided both official reported citation and neutral citation)
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data_instance (string): Name of the data instance (e.g. "SCC", "FCA", "FC", etc)
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year (int32): Year of the document date, which can be useful for filtering
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name (string): Name of the document, typically the style of cause of a case
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language (string): Language of the document, "en" for English, "fr" for French
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document_date (string): Date of the document, typically the date of a decision (yyyy-mm-dd)
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source_url (string): URL where the document was scraped and where the official version can be found
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scraped_timestamp (string): Date the document was scraped (yyyy-mm-dd)
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unofficial_text (string): Full text of the document (unofficial version, for official version see source_url)
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other (string): Field for additional metadata in JSON format, currently a blank string for most datasets
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### Data Splits
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The data has not been split, so all files are in the train split. If splitting for training/validation,
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some thought should be given to whether it is necessary to limit to one language or to ensure that both
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English and French versions of the same documents are put in the same split.
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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