First commit

.gitattributes

@@ -51,3 +51,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

create_examples_dataset.py

@@ -0,0 +1,44 @@
+import ftfy
+import json
+import random
+random.seed(1)
+import argparse
+import ir_datasets
+from tqdm.auto import tqdm
+
+def load_examples(base_dataset):
+    dataset = ir_datasets.load(base_dataset)
+
+    documents = {}
+    for doc in tqdm(
+        dataset.docs_iter(), total=dataset.docs_count(), desc="Loading documents"
+    ):
+        text = (
+            f"{doc.title} {doc.text}"
+            if "title" in dataset.docs_cls()._fields
+            else doc.text
+        )
+        documents[doc.doc_id] = ftfy.fix_text(text)
+
+    queries = {}
+    for query in dataset.queries_iter():
+        queries[query.query_id] = ftfy.fix_text(query.text)
+
+    return [
+        (queries[qrel.query_id], documents[qrel.doc_id])
+        for qrel in dataset.qrels_iter()
+    ]
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--num_examples', default=500_000)
+    parser.add_argument('--dataset', default='beir/msmarco/train')
+    parser.add_argument('--output', required=True)
+    args = parser.parse_args()
+
+    examples = load_examples(args.dataset)
+    random.shuffle(examples)
+
+    with open(args.output, 'w') as f:
+        for (query, document) in tqdm(examples[:args.num_examples], total=args.num_examples, desc='Writing'):
+            f.write(json.dumps({'query': query, 'document': document}) + '\n')

data/msmarco.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1562c5128f6cf73a089023a57a323b2ca58585a25e2d4b9621701091a3be1895
+size 207348070