Possible test server dataset description schema error
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Description
<xs:simpleType name="casual_string1024">
<!-- Subset on xs:string. Highly restricted form of string. URL-friendly -->
<xs:restriction base="xs:string">
<xs:pattern value="([a-zA-Z0-9_\-\.(),])+"/>
<xs:maxLength value="1024"/>
<xs:minLength value="1"/></xs:restriction>
</xs:simpleType>
<xs:simpleType name="casual_string128">
<!-- Subset on xs:string. Highly restricted form of string. URL-friendly -->
<xs:restriction base="xs:string">
<xs:pattern value="([a-zA-Z0-9_\-\.(),])+"/>
<xs:maxLength value="128"/><xs:minLength value="1"/>
</xs:restriction>
</xs:simpleType>
<xs:simpleType name="casual_string64">
<!-- Subset on xs:string. Highly restricted form of string. URL-friendly -->
<xs:restriction base="xs:string">
<xs:pattern value="([a-zA-Z0-9_\-\.(),])+"/>
<xs:maxLength value="64"/>
<xs:minLength value="1"/>
</xs:restriction>
</xs:simpleType>
Should the ( and ) be preceded by \ since they are meta-characters used for grouping ?
I am getting a validation error while trying to upload a dataset from scikit-learn.
As an example, the license value 'BSD (from Scikit-learn)' does not pass.
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Research direction
Review the XML schema snippet in the issue and reproduce validation with the license value “BSD (from Scikit-learn)”. Check whether the pattern permits the intended parentheses and determine the schema change needed so valid dataset metadata passes validation. Done means the example license validates without weakening unrelated constraints.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scikit-learn, xml
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100