Change Details

[ ] Develop a score processor that can operate on a last-revision article XML dump [ ] Run the processor and obtain scores Include columns: - page_id - title - revision_id - prediction (Stub, Start, C, B, GA, FA) - weighted_sum (a weighted sum of probabilities that allows us inter-class measurements) Re. weighted_sum, see https://github.com/halfak/quality-bias/blob/master/score_revisions.py#L88 This strategy seems to produce stable measurements.

[ ] Develop a score processor that can operate on a last-revision article XML dump [ ] Run the processor and obtain scores [ ] Publish static dataset and register metadata Include columns: - page_id - title - revision_id - prediction (Stub, Start, C, B, GA, FA) - weighted_sum (a weighted sum of probabilities that allows us inter-class measurements) Re. weighted_sum, see https://github.com/halfak/quality-bias/blob/master/score_revisions.py#L88 This strategy seems to produce stable measurements.

[ ] Develop a score processor that can operate on a last-revision article XML dump [ ] Run the processor and obtain scores [ ] Publish static dataset and register metadata Include columns: - page_id - title - revision_id - prediction (Stub, Start, C, B, GA, FA) - weighted_sum (a weighted sum of probabilities that allows us inter-class measurements) Re. weighted_sum, see https://github.com/halfak/quality-bias/blob/master/score_revisions.py#L88 This strategy seems to produce stable measurements.