add title/text columns, enfore same schema as wands

build.py

@@ -3,6 +3,12 @@ import polars as pl
 import os
 
 MAPPING = {"E": 3, "S": 2, "C": 1, "I": 0}
+COLUMNS = [
+    "product_description",
+    "product_bullet_point",
+    "product_brand",
+    "product_color",
+]
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
@@ -29,9 +35,20 @@ if __name__ == "__main__":
         os.path.join(args.source, "shopping_queries_dataset_examples.parquet")
     )
     merged = examples.join(products, on=pl.col("product_id"))
-    merged = merged.rename({"example_id": "id", "esci_label": "label"})
-    merged = merged.with_columns(label=pl.col("label").replace(MAPPING).cast(pl.Int32))
+
     merged = merged.select(pl.all().exclude("^__index_level_.*$"))
+    merged = merged.with_columns(
+        label=pl.col("esci_label").replace(MAPPING).cast(pl.Int32),
+        id=pl.col("example_id").cast(pl.String),
+        query_id=pl.col("query_id").cast(pl.String),
+        product_id=pl.col("product_id").cast(pl.String),
+        title=pl.col("product_title"),
+        text=pl.concat_str(
+            [pl.lit(f"{col}: ") + pl.col(col).fill_null("") for col in COLUMNS],
+            separator="\n",
+        ),
+    )
+
     print(f"loaded {len(merged)} source rows")
     merged = merged.filter(pl.col("split") == args.split)
     print(f"split filtering done: {len(merged)} rows")

data/test.jsonl.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bdb719b1bee7c7880cfd7932db49f392d01abfed9805c53383ecd37ca7883696
-size 99631930
+oid sha256:bb0db292e2185fea215bab11ef5d583aaf28eb1fc03cbcbca01a0c324009e11c
+size 114812289

data/train.jsonl.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08b7d02d872ba682abdf3447ecad29b4db5c761358fa2c94f02cccf5394ad90a
-size 389087721
+oid sha256:cf9ae049edf3e7c233f7349503bc4c92fd50ddedef936a13792bfd9d1a4a0e59
+size 452692076