Update README.md

README.md

@@ -17,3 +17,24 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# dataproc5/tmp-danbooru2025-row-priorities
+
+The repo contains priority scores by id for tag blancing task, as part of the dataproc5 pipeline.
+
+```python
+import unibox as ub
+from dataproc5.pipelines.danbooru.nodes import prepare_balancing_tags, select_balanced_images, prepare_row_priorities
+
+dbr_df = ub.loads("hf://trojblue/danbooru2025-metadata").to_pandas()
+tag_counts_all_df = ub.loads("hf://dataproc5/metrics-danbooru2025-alltime-tag-counts").to_pandas()
+
+tag_df = prepare_balancing_tags(dbr_df, tag_counts_all_df, key_col="id")
+dbr_df = dbr_df.merge(tag_df, on="id", how="left")
+
+priority_df = prepare_row_priorities(dbr_df, column_name="_priority", key_col="id")
+dbr_df = dbr_df.merge(priority_df, on="id", how="left")
+
+# Then you can sort by the new priority
+dbr_df.sort_values("_priority", ascending=False, inplace=True)
+```