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67ebcef | 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 | """Compares the self-aggregation module with the weighted vote over the same K attempts.
Split problems (attempts disagree) get the aggregator's answer, unanimous ones keep the shared answer.
usage: agg_eval.py data/agg/m180.jsonl agg_m180_dm (the second argument is a graded results tag)"""
import collections
import json
import os
import random
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from grade import grade_math # noqa: E402
items = {json.loads(l)["id"]: json.loads(l) for l in open(sys.argv[1], encoding="utf-8")}
agg = collections.defaultdict(list)
for l in open(os.path.join("results", sys.argv[2], "graded.jsonl"), encoding="utf-8"):
g = json.loads(l)
agg[g["id"]].append(g["correct"])
def vote_ok(it):
v = it["vote"]
if v is None:
return False
return v == it["answer"] if it["task"] == "mmlupro" else bool(grade_math("\\boxed{" + v + "}", it["answer"]))
vote = {i: vote_ok(it) for i, it in items.items()}
split = [i for i, it in items.items() if not it["unanimous"] and i in agg]
diff = [sum(agg[i]) / len(agg[i]) - vote[i] for i in split]
rng = random.Random(0)
boots = sorted(sum(rng.choice(diff) for _ in diff) / len(diff) for _ in range(2000)) if diff else [0] * 2000
n = len(items)
hyb = sum(vote[i] for i, it in items.items() if it["unanimous"] or i not in agg) + sum(sum(agg[i]) / len(agg[i]) for i in split)
print(f"{sys.argv[2]}: {n} problems, {len(split)} split, samples/problem {sum(len(agg[i]) for i in split) / max(len(split), 1):.1f}")
print(f" split problems: vote {100 * sum(vote[i] for i in split) / max(len(split), 1):.1f} -> aggregator "
f"{100 * sum(sum(agg[i]) / len(agg[i]) for i in split) / max(len(split), 1):.1f}")
print(f" all problems: vote {100 * sum(vote.values()) / n:.1f} -> vote+aggregator {100 * hyb / n:.1f} "
f"d={100 * sum(diff) / n:+.1f} [{100 * boots[50] * len(split) / n:+.1f}, {100 * boots[1949] * len(split) / n:+.1f}]")
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