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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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The Refugee Law Lab supports bulk open-access to Canada legal data to facilitate research and advocacy, focusing on |
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federal law and law relating to refugees and other people on the move. Bulk open-access helps avoid asymmetrical |
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access-to-justice and amplification of marginalization that results when commercial actors leverage proprietary |
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legal datasets for profit -- a particular concern in the border control setting. |
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This dataset includes the unofficial full text of thousdands of court and tribunal decisions at the federal level. |
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It can be used for legal analytics (e.g. identifying patterns in legal decision-making), to test ML and NLP tools |
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on a bilingual (French and English) dataset of Canadian legal materials, and to pretrain language models. |
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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] |