File size: 2,598 Bytes
4f24d15 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | #!/usr/bin/env python3
"""Turn published results JSONL back into the per-document layout the public
evaluators read, so ``parse-bench run <pipeline> --skip_inference`` or
``extract-bench run <pipeline> --skip_inference`` scores them without any
inference.
python tools/explode.py --benchmark parsebench results/<pipeline> output/<pipeline>
Writes ``output/<pipeline>/<category>/<stem>.result.json`` and a minimal
``_metadata.json``. Python 3.9+, standard library only.
"""
import argparse
import json
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from hfresults_common import BENCHMARKS, group_dir_for, metadata_for, read_jsonl, record_stem # noqa: E402
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument("--benchmark", required=True, choices=sorted(BENCHMARKS))
parser.add_argument("results_dir", help="results/<pipeline> folder holding <category>.jsonl files")
parser.add_argument("output_dir", help="output/<pipeline> folder to create")
parser.add_argument("--provider", default=None, help="provider name for _metadata.json (default: pipeline)")
args = parser.parse_args()
spec = BENCHMARKS[args.benchmark]
pipeline = os.path.basename(os.path.normpath(args.results_dir))
os.makedirs(args.output_dir, exist_ok=True)
written = {}
for category in spec["categories"]:
path = os.path.join(args.results_dir, category + ".jsonl")
if not os.path.exists(path):
continue
group_dir = os.path.join(args.output_dir, group_dir_for(args.benchmark, category))
os.makedirs(group_dir, exist_ok=True)
count = 0
for _number, _line, record in read_jsonl(path):
_group, stem = record_stem(record)
target = os.path.join(group_dir, stem + ".result.json")
with open(target, "w", encoding="utf-8") as fh:
json.dump(record, fh, ensure_ascii=False)
count += 1
written[category] = count
if not written:
print("no <category>.jsonl files found in %s" % args.results_dir, file=sys.stderr)
return 1
with open(os.path.join(args.output_dir, "_metadata.json"), "w", encoding="utf-8") as fh:
json.dump(metadata_for(pipeline, args.provider, spec["product_type"]), fh, indent=2)
for category, count in written.items():
print("%s: %d documents" % (category, count))
print("wrote %s" % args.output_dir)
return 0
if __name__ == "__main__":
sys.exit(main())
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