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#!/usr/bin/env python
# This code is originally from https://github.com/bigscience-workshop/Megatron-DeepSpeed
# under the license https://huggingface.co/spaces/bigscience/license
# this script converts results.json:
#
# "results": {
# "arc_challenge": {
# "acc": 0.24232081911262798,
# "acc_stderr": 0.01252159329580012,
# "acc_norm": 0.2764505119453925,
# "acc_norm_stderr": 0.013069662474252425
# },
#
# into a format expected by a spreadsheet, which is:
#
# task metric value err
# arc_challenge acc xxx yyy
# arc_challenge acc_norm xxx yyy
# arc_challenge f1 xxx yyy
#
# usage:
# report-to-csv.py results.json
import sys
import json
import io
import csv
results_file = sys.argv[1]
csv_file = results_file.replace("json", "csv")
print(f"Converting {results_file} to {csv_file}")
with io.open(results_file, 'r', encoding='utf-8') as f:
results = json.load(f)
with io.open(csv_file, 'w', encoding='utf-8') as f:
writer = csv.writer(f)
writer.writerow(["task", "metric", "value", "err", "version"])
versions = results["versions"]
for k,v in sorted(results["results"].items()):
if k not in versions:
versions[k] = -1
if "acc" in v:
writer.writerow([k, "acc", v["acc"], v["acc_stderr"], versions[k]])
if "acc_norm" in v:
writer.writerow([k, "acc_norm", v["acc_norm"], v["acc_norm_stderr"], versions[k]])
if "f1" in v:
writer.writerow([k, "f1", v["f1"], v["f1_stderr"] if "f1_stderr" in v else "", versions[k]])
# if "ppl" in v:
# writer.writerow([k, "ppl", v["ppl"], v["ppl_stderr"], versions[k]])
# if "em" in v:
# writer.writerow([k, "em", v["em"], v["em_stderr"] if "em_stderr" in v else "", versions[k]])
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