Check !damaging & goodfaith, !damaging & reverted, damaging & !goodfaith, and damaging & goodfaith for weirness. Generate random samples. Label them. Report interesting examples.
Description
Description
Status | Subtype | Assigned | Task | ||
---|---|---|---|---|---|
Invalid | None | T148700 JADE: UI/API for reviewing/refuting how ORES classifies you and your stuff | |||
Resolved | awight | T153145 Meta ORES: API data storage and querying | |||
Resolved | Halfak | T166045 Scoring platform team FY18 Q1 | |||
Resolved | awight | T166053 [Spike] potential technical implementations of JADE | |||
Resolved | Halfak | T153152 Design JADE data storage schema | |||
Resolved | awight | T171496 Design a collaborative judgement pattern for JADE | |||
Resolved | Halfak | T172332 Early Aug 2017 Wikilabels Deployment | |||
Resolved | Natalia | T171493 Change "yes/no" in damaging_goodfaith form to "damaging/good" and "good-faith/bad-faith" | |||
Resolved | Natalia | T171491 Unlabeled goodfaith observations are assumed "false" -- should be "true" | |||
Resolved | Natalia | T171497 Review training set to check strange examples of labels |
Event Timeline
Comment Actions
Here are some results of reviewing labels Damaging/Goodfaith and Damaging/Badfaith for enwiki and ruwiki: https://meta.wikimedia.org/wiki/Research_talk:Automated_classification_of_edit_quality/Work_log/2017-07-24#Labels.27_validity_test