fixed readme
Browse files
README.md
CHANGED
@@ -45,6 +45,8 @@ the Refugee Law Lab's [Federal Court Bulk Decisions Dataset](https://refugeelab.
|
|
45 |
- citation2 (string): For some documents multiple citations are available (e.g. for some periods
|
46 |
the Supreme Court of Canada provided both official reported citation and neutral citation)
|
47 |
|
|
|
|
|
48 |
- year (int32): Year of the document date, which can be useful for filtering
|
49 |
|
50 |
- name (string): Name of the document, typically the style of cause of a case
|
@@ -59,8 +61,6 @@ the Supreme Court of Canada provided both official reported citation and neutral
|
|
59 |
|
60 |
- unofficial_text (string): Full text of the document (unofficial version, for official version see source_url)
|
61 |
|
62 |
-
- dataset (string): Name of the data instance (e.g. "SCC", "FCA", "FC", etc)
|
63 |
-
|
64 |
- other (string): Field for additional metadata in JSON format, currently a blank string for most datasets
|
65 |
|
66 |
### Data Languages
|
@@ -155,7 +155,7 @@ religion, disability, socio-economic class, etc.
|
|
155 |
|
156 |
Publicly available court and tribunal decisions are not a representative sample of legal decision-making -- and in some cases may reflect
|
157 |
significantly skewed samples. To give one example, the vast majority of Federal Court judicial reviews of refugee determinations involve negative
|
158 |
-
first instance decisions even thought most first instance decisions are positive (this occurs because the government seldom
|
159 |
reviews of positive first instance decisions whereas claimants frequently apply for judicial review of negative decisions). As such, generative models
|
160 |
built partly on this dataset risk amplifying negative refugee decision-making (rather than more common positive refugee decision-making). Due to the ways that
|
161 |
legal datasets may be skewed, users of this dataset are encouraged to collaborate with or consult domain experts.
|
|
|
45 |
- citation2 (string): For some documents multiple citations are available (e.g. for some periods
|
46 |
the Supreme Court of Canada provided both official reported citation and neutral citation)
|
47 |
|
48 |
+
- dataset (string): Name of the data instance (e.g. "SCC", "FCA", "FC", etc)
|
49 |
+
|
50 |
- year (int32): Year of the document date, which can be useful for filtering
|
51 |
|
52 |
- name (string): Name of the document, typically the style of cause of a case
|
|
|
61 |
|
62 |
- unofficial_text (string): Full text of the document (unofficial version, for official version see source_url)
|
63 |
|
|
|
|
|
64 |
- other (string): Field for additional metadata in JSON format, currently a blank string for most datasets
|
65 |
|
66 |
### Data Languages
|
|
|
155 |
|
156 |
Publicly available court and tribunal decisions are not a representative sample of legal decision-making -- and in some cases may reflect
|
157 |
significantly skewed samples. To give one example, the vast majority of Federal Court judicial reviews of refugee determinations involve negative
|
158 |
+
first instance decisions even thought most first instance decisions are positive (this occurs because the government seldom applies for judicial
|
159 |
reviews of positive first instance decisions whereas claimants frequently apply for judicial review of negative decisions). As such, generative models
|
160 |
built partly on this dataset risk amplifying negative refugee decision-making (rather than more common positive refugee decision-making). Due to the ways that
|
161 |
legal datasets may be skewed, users of this dataset are encouraged to collaborate with or consult domain experts.
|