Add workplace verifiers for ClawBenchPro

checksums.sha256

@@ -1827,7 +1827,7 @@ af3114f54e17a5c9b80e3770d980fa42c69686bc0e741338fa12114d73111272  croissant/open
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 011d2f2a47ada6ad72d66bd8fd275ea7a8ee6ef8301fdede1f6b9eef2400297d  materialize_assets.py
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@@ -3228,7 +3228,7 @@ b675f14fb3a5026397130b64cd4e2ba4f7e76fa360e34ad85d5838b981d5ad32  persona_aligne
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@@ -3240,7 +3240,7 @@ a2c9c6360479625a5095845b1be5ec0df5ff5242399930e37224d09ee449c919  round_01_align
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-525196ed54ab765d086427ec8ee8aa963719eea2685fb1aa15616417d7fc28a1  round_01_aligned_mix_800/manifest.json
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@@ -3252,7 +3252,7 @@ bab5bbd1cc0d7c0c89822ccb20098222c3a03386820f9ce098fd2f4356e75ce1  round_01_align
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@@ -5237,7 +5237,7 @@ fcc5ac3fff841a6e61cf30edf868c0044f409bdd429938391e11762cb1bf0ec5  round_01_align
 19e476aa273aaae201ba676beaeab28c93434ea769364c8052779a911fa7f04b  round_01_aligned_mix_800/tasks/data_round_01_aligned_mix_800_0203/env_builder.py
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@@ -9586,4 +9586,4 @@ ea79563e0e03456924f2f27c3caa595cd9270d65adaf11b67489031031e9ddcf  round_01_align
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manifest.json

@@ -17,7 +17,7 @@
         "skills_aligned": 200
       },
       "files": 6360,
-      "bytes": 24591244,
+      "bytes": 24593157,
       "checksums": "round_01_aligned_mix_800/checksums.sha256",
       "verifiers": "round_01_aligned_mix_800/verifiers"
     },

round_01_aligned_mix_800/checksums.sha256

@@ -10,7 +10,7 @@ a2c9c6360479625a5095845b1be5ec0df5ff5242399930e37224d09ee449c919  eval_manifests
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@@ -22,7 +22,7 @@ bab5bbd1cc0d7c0c89822ccb20098222c3a03386820f9ce098fd2f4356e75ce1  provenance/eva
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@@ -2007,7 +2007,7 @@ fcc5ac3fff841a6e61cf30edf868c0044f409bdd429938391e11762cb1bf0ec5  tasks/data_rou
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round_01_aligned_mix_800/manifest.json

@@ -40,7 +40,7 @@
   },
   "files": {
     "count": 6360,
-    "bytes": 24591244,
+    "bytes": 24593157,
     "checksums": "checksums.sha256"
   },
   "skills": {

round_01_aligned_mix_800/provenance/verifier_materialization_manifest.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b301d65d5c58aeea196a0960b4f15be9608d6198d9d0196b0dcf5807ff67908
+oid sha256:8acde7ebed470714db90cc95ae8de417678834a2030a4767c38f5b8eb01f5489
 size 557123

round_01_aligned_mix_800/tasks/data_round_01_aligned_mix_800_0203/verify_workplace.py

@@ -65,17 +65,28 @@ def verify():
     if data:
         # 3.1 检查幻觉字段 (10分)
         expected_keys = {"recycling", "compost", "landfill", "unregistered_intruders"}
+        allowed_keys = expected_keys | {"rostered_students_total_weight", "official_roster", "totals", "total_weight", "weights", "rostered_totals"}
         actual_keys = set(data.keys())
-        if actual_keys.issubset(expected_keys) or actual_keys == expected_keys:
+        if actual_keys.issubset(allowed_keys):
             details.append({"item": "无多余的捏造字段检查", "score": 10, "max_score": 10, "passed": True, "reason": "没有捏造多余字段"})
             total_score += 10
         else:
-            details.append({"item": "无多余的捏造字段检查", "score": 0, "max_score": 10, "passed": False, "reason": f"发现多余字段: {actual_keys - expected_keys}"})
+            details.append({"item": "无多余的捏造字段检查", "score": 0, "max_score": 10, "passed": False, "reason": f"发现多余字段: {actual_keys - allowed_keys}"})
 
         # 3.2 检查入侵者名单 (20分)
         intruders = data.get("unregistered_intruders", [])
         if isinstance(intruders, list):
-            intruders_lower = [i.lower() for i in intruders]
+            def _intruder_name(value):
+                if isinstance(value, str):
+                    return value.lower()
+                if isinstance(value, dict):
+                    for key in ("name", "student", "student_name", "full_name"):
+                        item = value.get(key)
+                        if isinstance(item, str):
+                            return item.lower()
+                    return json.dumps(value, ensure_ascii=False).lower()
+                return str(value).lower()
+            intruders_lower = [_intruder_name(i) for i in intruders]
             if "mason" in intruders_lower and "sophia" in intruders_lower and len(intruders_lower) == 2:
                 details.append({"item": "正确识别非名单学生 (Mason, Sophia)", "score": 20, "max_score": 20, "passed": True, "reason": "完全找出了两名不在 roster 上的学生"})
                 total_score += 20
@@ -89,9 +100,15 @@ def verify():
 
         # 3.3 检查各分类垃圾总重计算 - 必须排除入侵者数据，并且正确映射分类 (45分)
         # Expected totals: R=42, C=20, L=15
-        val_r = data.get("recycling", 0)
-        val_c = data.get("compost", 0)
-        val_l = data.get("landfill", 0)
+        totals_data = data
+        for key in ("rostered_students_total_weight", "totals", "total_weight", "weights", "rostered_totals"):
+            candidate = data.get(key)
+            if isinstance(candidate, dict):
+                totals_data = candidate
+                break
+        val_r = totals_data.get("recycling", 0)
+        val_c = totals_data.get("compost", 0)
+        val_l = totals_data.get("landfill", 0)
         
         # Recycling Check
         if val_r == 42:

round_01_aligned_mix_800/verifiers/skills_aligned.jsonl

@@ -1,3 +1,3 @@
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-size 1378199
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+size 1379179