build.py

import argparse
import polars as pl
import os

MAPPING = {"Exact": 2, "Partial": 1, "Irrelevant": 0}
COLUMNS = [
    "product_class",
    "category hierarchy",
    "product_description",
    "product_features",
    "query_class",
]

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--source", type=str, required=True, help="path to WANDS dataset"
    )
    args = parser.parse_args()

    label = pl.read_csv(os.path.join(args.source, "label.csv"), separator="\t")
    product = pl.read_csv(os.path.join(args.source, "product.csv"), separator="\t")
    query = pl.read_csv(os.path.join(args.source, "query.csv"), separator="\t")

    merged = label.join(product, on=pl.col("product_id"))
    merged = merged.join(query, on=pl.col("query_id"))

    merged = merged.with_columns(
        label=pl.col("label").replace(MAPPING).cast(pl.Int32),
        id=pl.col("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_name"),
        text=pl.concat_str(
            [pl.lit(f"{col}: ") + pl.col(col).fill_null("") for col in COLUMNS],
            separator="\n",
        ),
    )
    print(merged.describe())

    merged.write_ndjson("data.jsonl")