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b47994e | 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 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 | #!/usr/bin/env python3
"""Collate ACCEPTED (verified) questions across the three review banks and
report distributions to plan a balanced 600-question benchmark.
Banks:
qbank rollouts/rollout_vlm_20260827_231647 (count/find/beneath/compare)
count_v2 rollouts/rollout_vlm_20260901_220948 (count, GT=0 hidden via :+nogt0)
find_v2 rollouts/rollout_vlm_20260902_044842 (find, yes-only + 30 broken excl)
Authoritative decision = latest-timestamp record per episode (union across
reviewers), matching review_server.global_decisions(). edited_gt overrides
the stored gt_answer.
"""
import json, glob, os
from collections import Counter, defaultdict
BANKS = {
"qbank": "rollouts/rollout_vlm_20260827_231647",
"count_v2": "rollouts/rollout_vlm_20260901_220948",
"find_v2": "rollouts/rollout_vlm_20260902_044842",
}
# serve-time filters (must mirror start_review_server.sh so we only count
# questions actually in the review pool)
FILTERS = {
"count_v2": {"exclude_gt0": True},
"find_v2": {"yes_only": True, "use_exclude_file": True},
"qbank": {},
}
QCANON = {"counting":"count","existence":"find","under_object":"beneath",
"marked_comparison":"compare"}
def canon(qt): return QCANON.get(qt, qt)
def load_exclude(rd):
p=os.path.join(rd,"EXCLUDE_EPISODES.txt"); out=set()
if os.path.isfile(p):
for line in open(p):
line=line.split("#",1)[0].strip()
if line: out.add(line)
return out
def is_yes(q):
t=str(q.get("gt_answer_text") or "").lower()
if not t:
gt=str(q.get("gt_answer") or ""); om=q.get("option_map") or {}
t=str(om.get(gt) or om.get(gt.upper()) or om.get(gt.lower()) or "").lower()
return t.startswith("y")
def latest_decisions(rd):
"""episode -> full latest decision record (by timestamp)."""
out={}
for f in glob.glob(os.path.join(rd,"reviews","*.jsonl")):
if os.path.basename(f)=="claims.jsonl": continue
for line in open(f):
line=line.strip()
if not line: continue
try: d=json.loads(line)
except: continue
ep=d.get("episode")
if not ep: continue
ts=d.get("timestamp","")
if ep not in out or ts>=out[ep].get("timestamp",""):
out[ep]=d
return out
def episode_review(rd, ep):
"""Load an episode's review.json (search top-level + worker_*)."""
for cand in [os.path.join(rd,ep,"review.json")] + \
glob.glob(os.path.join(rd,"worker_*",ep,"review.json")):
if os.path.isfile(cand):
return json.load(open(cand))
return None
def obj_folders(review):
"""Unique asset folders used in the scene (from scene_objects/objects)."""
fs=set()
for o in (review.get("scene_objects") or review.get("objects") or []):
# scene_objects carry ref image paths -> derive folder;
# objects carry name only; fall back to name
imgs=o.get("images") or []
if imgs:
# "_ref_views/<source__folder>/0.jpg"
part=imgs[0].split("/")
if len(part)>=2: fs.add(part[1])
elif o.get("folder"): fs.add(o["folder"])
elif o.get("name"): fs.add("name::"+o["name"])
return fs
# ---- collate -------------------------------------------------------------
accepted = defaultdict(list) # canon_type -> [ (bank, ep, review, decision) ]
compare_inverse = Counter() # inverse_status among accepted compare
per_bank_counts = defaultdict(Counter)
for bank, rd in BANKS.items():
if not os.path.isdir(rd):
print(f"!! missing {rd}"); continue
excl = load_exclude(rd) if FILTERS.get(bank,{}).get("use_exclude_file") else set()
dec = latest_decisions(rd)
for ep, d in dec.items():
if d.get("status")!="accepted":
continue
if ep in excl:
continue
rv = episode_review(rd, ep)
if rv is None:
continue
q = rv.get("question") or {}
ct = canon(q.get("question_type"))
# apply serve filters
if FILTERS.get(bank,{}).get("exclude_gt0") and str(q.get("gt_answer"))=="0":
continue
if FILTERS.get(bank,{}).get("yes_only") and not is_yes(q):
continue
accepted[ct].append((bank, ep, rv, d))
per_bank_counts[bank][ct]+=1
if ct=="compare":
compare_inverse[d.get("inverse_status") or "not_annotated"]+=1
# ---- report --------------------------------------------------------------
print("="*70)
print("ACCEPTED (verified) QUESTION COUNTS — final benchmark candidate pool")
print("="*70)
grand=0
for ct in ["count","find","beneath","compare"]:
n=len(accepted[ct]); grand+=n
srcs=Counter(b for b,_,_,_ in accepted[ct])
print(f" {ct:9s}: {n:4d} (by bank: {dict(srcs)})")
print(f" {'TOTAL':9s}: {grand:4d}")
print("\n" + "="*70)
print("COMPARE — inverse-question annotation")
print("="*70)
tot_cmp=len(accepted['compare'])
inv_acc=compare_inverse.get('accepted',0)
print(f" accepted compare questions : {tot_cmp}")
print(f" ...with inverse ALSO accepted (good) : {inv_acc}")
print(f" ...inverse rejected : {compare_inverse.get('rejected',0)}")
print(f" ...inverse not annotated : {compare_inverse.get('not_annotated',0)}")
print(f" → usable as TWO questions (fwd+inverse): {inv_acc} pairs "
f"(= {tot_cmp}+{inv_acc} = {tot_cmp+inv_acc} total if both counted)")
# ---- GT distribution per type -------------------------------------------
def gt_of(rv, d):
q=rv.get("question") or {}
if d.get("edited_gt") is not None: return str(d["edited_gt"])
return str(q.get("gt_answer"))
print("\n" + "="*70)
print("GROUND-TRUTH DISTRIBUTION (accepted only; edited_gt applied)")
print("="*70)
# count / beneath -> integer or option
for ct in ["count"]:
c=Counter(gt_of(rv,d) for _,_,rv,d in accepted[ct])
print(f" {ct}: {dict(sorted(c.items(), key=lambda x:str(x[0])))}")
# find -> yes/no (yes-only expected)
c=Counter("yes" if is_yes(rv.get("question") or {}) else "no"
for _,_,rv,d in accepted["find"])
print(f" find (yes/no): {dict(c)}")
# beneath -> gt is object name; report count of distinct answers + option letter
bl=Counter(gt_of(rv,d) for _,_,rv,d in accepted["beneath"])
print(f" beneath: {len(bl)} distinct GT answers among {sum(bl.values())} (top5: {bl.most_common(5)})")
# compare -> A/B/C letter + polarity
cl=Counter(gt_of(rv,d) for _,_,rv,d in accepted["compare"])
pol=Counter((rv.get('question') or {}).get('comparison_extremum')
for _,_,rv,d in accepted["compare"])
print(f" compare letter: {dict(sorted(cl.items()))}")
print(f" compare extremum (largest/smallest): {dict(pol)}")
# ---- unique-object usage -------------------------------------------------
print("\n" + "="*70)
print("UNIQUE OBJECTS USED (across accepted scenes, per type)")
print("="*70)
all_objs=set()
for ct in ["count","find","beneath","compare"]:
objs=set()
for _,_,rv,_ in accepted[ct]:
objs|=obj_folders(rv)
all_objs|=objs
print(f" {ct:9s}: {len(objs)} unique object folders across {len(accepted[ct])} scenes")
print(f" {'UNION':9s}: {len(all_objs)} unique object folders across the whole pool")
# ---- target-object diversity (the queried/counted object) ---------------
print("\n" + "="*70)
print("TARGET / QUERIED OBJECT DIVERSITY (the object the question is ABOUT)")
print("="*70)
for ct in ["count","find","beneath"]:
tgt=Counter()
for _,_,rv,_ in accepted[ct]:
q=rv.get("question") or {}
name=q.get("target_name") or q.get("queried_name")
if name: tgt[name]+=1
print(f" {ct:9s}: {len(tgt)} distinct target objects; "
f"most reused: {tgt.most_common(3)}")
print("\n(done)")
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