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H2Retrieval.py

@@ -103,9 +103,22 @@ def main():
 
 main()
 
-corpus_pd = pd.DataFrame(corpus, columns=['cid', 'text'])
-queries_pd = pd.DataFrame(queries, columns=['qid', 'text'])
-qrels_pd = pd.DataFrame(qrels, columns=['qid', 'cid', 'score'])
+corpus_pd = pd.DataFrame(corpus, columns=['cid', 'text'], dtype=str)
+queries_pd = pd.DataFrame(queries, columns=['qid', 'text'], dtype=str)
+qrels_pd = pd.DataFrame(qrels, columns=['qid', 'cid', 'score'], dtype=str)
+
+# def load_dataset(path):
+#     df = pd.read_parquet(path, engine="pyarrow")
+#     return df
+# corpus_pd = load_dataset(r"D:\datasets\H2Retrieval\data\corpus.parquet.gz")
+# queries_pd = load_dataset(r"D:\datasets\H2Retrieval\data\queries.parquet.gz")
+# qrels_pd = load_dataset(r"D:\datasets\H2Retrieval\data\qrels.parquet.gz")
+
+corpus_pd['cid'] = corpus_pd['cid'].astype(str)
+queries_pd['qid'] = queries_pd['qid'].astype(str)
+qrels_pd['qid'] = qrels_pd['qid'].astype(str)
+qrels_pd['cid'] = qrels_pd['cid'].astype(str)
+qrels_pd['score'] = (qrels_pd['score']*100).astype(int)
 
 corpus_pd.to_parquet(
     r"D:\datasets\H2Retrieval\data\corpus.parquet.gz",

data/corpus.parquet.gz

@@ -1,3 +1,3 @@
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+size 63011689

data/qrels.parquet.gz

@@ -1,3 +1,3 @@
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+size 2551730

data/queries.parquet.gz

@@ -1,3 +1,3 @@
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+size 17044498