Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10M - 100M
DOI:
File size: 678 Bytes
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import json
qrel_filenames = [
"qrels.dl21-doc-msmarco-v2.1.txt",
"qrels.msmarco-v2.1-doc.dev.txt",
"qrels.dl22-doc-msmarco-v2.1.txt",
"qrels.msmarco-v2.1-doc.dev2.txt",
"qrels.dl23-doc-msmarco-v2.1.txt",
"qrels.rag24.raggy-dev.txt",
]
for filename in qrel_filenames:
short_filename = filename.split("qrels.")[1][:-4]
qrels: dict = {}
with open(filename, "r") as f:
for line in f:
qid, _, doc_id, label = line.strip().split()
if qid not in qrels:
qrels[qid] = {}
qrels[qid][doc_id] = int(label)
with open(f"{short_filename}.json", "w") as w:
w.write(json.dumps(qrels))
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