Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10M - 100M
DOI:
| 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)) | |