{ "adapter": "Taimwe/securecoder-30b-pro", "base": "unsloth/Qwen3-Coder-30B-A3B-Instruct", "when": "2026-09-25T11:02:30Z", "sections": [ { "section": "tool_calls", "n_prompts": 60, "parse_rate": 1.0, "name_rate": 1.0, "schema_rate": 0.9833333333333333 }, { "section": "code_sanity", "n_prompts": 15, "ast_rate": 0.06666666666666667, "compile_rate": 0.06666666666666667 }, { "section": "security_mcq", "error": "ValueError(\"Bad split: train. 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\"2023-05-10\"}, {\"name\": \"Discovery Phase Completion\", \"due_date\": \"2023-06-15\"}, {\"name\": \"Pre-trial Motions\", \"due_date\": \"2023-08-01\"}]", "document_deadlines": "[{\"document_name\": \"Client Affidavit\", \"due_date\": \"2023-05-20\"}, {\"document_name\": \"Witness List\", \"due_date\": \"2023-07-05\"}]", "team_members": "[{\"name\": \"John Doe\", \"role\": \"Lead Attorney\", \"tasks\": [\"case strategy\", \"client communications\"]}, {\"name\": \"Jane Smith\", \"role\": \"Paralegal\", \"tasks\": [\"research\", \"documentation\"]}, {\"name\": \"Richard Roe\", \"role\": \"Junior Attorney\", \"tasks\": [\"assisting with motions\", \"legal analysis\"]}, {\"name\": \"Emily Davis\", \"role\": \"Legal Secretary\", \"tasks\": [\"scheduling\", \"filing\"]}]" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "case_id", "document_deadlines", "milestones", "team_members" ], "given_keys": [ "case_id", "document_deadlines", "milestones", "team_members" ] } ] }, { "prompt": "As a project manager at Delphi Consulting Group, I am currently spearheading the", "reply_first_160": "\n\n{\"project_scope\": \"Reengineer the finance and accounting workflow for Apex Global Solutions\", \"stakeholders\": [\"John Smith\",", "expected_call": true, "n_calls": 3, "calls": [ { "name": "plan_project", "arguments": {} }, { "name": "allocate_resources", "arguments": {} }, { "name": "track_progress", "arguments": {} } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": false, "expected_keys": [ "deadlines", "project_scope", "stakeholders" ], "given_keys": [] }, { "parse": true, "name_ok": true, "schema_ok": false, "expected_keys": [ "project_id", "resource_requirements" ], "given_keys": [] }, { "parse": true, "name_ok": true, "schema_ok": false, "expected_keys": [ "milestones", "project_id" ], "given_keys": [] } ] }, { "prompt": "I recently purchased a range of smart home devices that I would like to integrat", "reply_first_160": "\n\n\nsmart lock\n\n\nSecureLock SLT2\n\n\n\n\n\n12345\n\n\nTrue\n\n\n", "expected_call": true, "n_calls": 1, "calls": [ { "name": "getConnectedDevicesStatus", "arguments": { "locationId": "12345", "includeOffline": "True" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "includeOffline", "locationId" ], "given_keys": [ "includeOffline", "locationId" ] } ] }, { "prompt": "I am currently deploying a smart building management system and need to integrat", "reply_first_160": "\n\n\nEnviroSensorType\n\n\nEnvironmentalSensor_001\n\n\n\n\nsensor-12345\n\n\nTemperature Sensor\n\n\n\n\nsmart-city-123\n\n\nus-central1\n\n\n\n\ntempSensor_001\n\n\nTemperature Sensor 001\n\n\n\n\nhome_network_123\n\n\n\n\n\n\n\n9BX5Z6R7TY101FY2\n\n\n1357924\n\n\n\n\nEco-Friendly Water Bottle\n\n\n[{\"demographic\": \"young adul", "expected_call": true, "n_calls": 1, "calls": [ { "name": "create_campaign", "arguments": { "product_name": "Eco-Friendly Water Bottle", "campaign_details": "[{\"demographic\": \"young adults\", \"platforms\": [\"Instagram\", \"Snapchat\"], \"budget\": 5000, \"start_date\": \"2023-07-01\", \"end_date\": \"2023-07-15\", \"ad_schedule\": [{\"ad_name\": \"EcoLaunch Day\", \"release_date\": \"2023-07-01\"}, {\"ad_name\": \"EcoHydrate Promo\", \"release_date\": \"2023-07-05\"}, {\"ad_name\": \"EcoWeekend Special\", \"release_date\": \"2023-07-08\"}]}, {\"demographic\": \"professionals\", \"platforms\": [\"LinkedIn\", \"Twitter\"], \"budget\": 8000, \"start_date\": \"2023-07-01\", \"end_date\": \"2023-07-15\", \"ad_schedule\": [{\"ad_name\": \"EcoWorkday Deal\", \"release_date\": \"2023-07-01\"}, {\"ad_name\": \"EcoCommute Promo\", \"release_date\": \"2023-07-05\"}, {\"ad_name\": \"EcoEndOfWeek Sale\", \"release_date\": \"2023-07-08\"}]}]" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "campaign_details", "product_name" ], "given_keys": [ "campaign_details", "product_name" ] } ] }, { "prompt": "Our marketing team has conducted three digital advertising campaigns identified ", "reply_first_160": "\n\n\n[\"camp_001\", \"camp_002\", \"camp_003\"]\n\n\n[\"impressions\", \"clic", "expected_call": true, "n_calls": 2, "calls": [ { "name": "get_campaign_metrics", "arguments": { "campaign_ids": "[\"camp_001\", \"camp_002\", \"camp_003\"]", "metrics": "[\"impressions\", \"click_through_rate\", \"conversion_rate\"]", "date_range": "{\"start_date\": \"2023-01-01\", \"end_date\": \"2023-03-31\"}" } }, { "name": "calculate_campaign_roi", "arguments": { "campaign_ids": "[\"camp_001\", \"camp_002\", \"camp_003\"]", "costs": "[20000, 25000, 15000]" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "campaign_ids", "date_range", "metrics" ], "given_keys": [ "campaign_ids", "date_range", "metrics" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "campaign_ids", "costs" ], "given_keys": [ "campaign_ids", "costs" ] } ] }, { "prompt": "As an avid movie buff, I have curated a digital collection on my home entertainm", "reply_first_160": "\n\n\nuser123\n\n\n[{'content_id': 'movie_201", "expected_call": true, "n_calls": 3, "calls": [ { "name": "recommend_content_based_on_viewing_habits", "arguments": { "user_id": "user123", "viewing_history": "[{'content_id': 'movie_201', 'watched_on': '2023-04-14T20:00:00Z'}, {'content_id': 'comedy_789', 'watched_on': '2023-04-16T18:30:00Z'}]", "genre_preferences": "['action', 'drama']" } }, { "name": "adjust_settings_to_user_preferences", "arguments": { "user_id": "user123", "settings_preferences": "{\"audio_level\": 50, \"subtitle_language\": \"English\", \"display_brightness\": 70}" } }, { "name": "set_parental_control_options", "arguments": { "user_id": "user123", "parental_settings": "{\"enabled\": true, \"rating_limit\": \"PG-13\"}" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "genre_preferences", "user_id", "viewing_history" ], "given_keys": [ "genre_preferences", "user_id", "viewing_history" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "settings_preferences", "user_id" ], "given_keys": [ "settings_preferences", "user_id" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "parental_settings", "user_id" ], "given_keys": [ "parental_settings", "user_id" ] } ] }, { "prompt": "I am setting up an interactive home entertainment interface and need to configur", "reply_first_160": "\n\n\nhome_theater_001\n\n\nMovie Night\n\n\n\n\n\n[\"router_01\", \"switch_02\", \"modem_03\"]\n\n\n\n", "expected_call": true, "n_calls": 2, "calls": [ { "name": "get_network_device_status", "arguments": { "device_ids": "[\"router_01\", \"switch_02\", \"modem_03\"]" } }, { "name": "analyze_network_traffic", "arguments": { "time_range": "last_24_hours", "traffic_type": "all" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "device_ids" ], "given_keys": [ "device_ids" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "time_range", "traffic_type" ], "given_keys": [ "time_range", "traffic_type" ] } ] }, { "prompt": "During peak hours, my streaming service is facing issues with video buffering, a", "reply_first_160": "\n\n\nabc12345\n\n\npeak_hours\n\n\n\n\n\nmedia_content_123\n\n\n[\"free\", \"premium\"]\n\n\n\n\nNinaSimoneID\n\n\nSunsetMelodiesEventID\n\n\n\n\nSaturday Night Trivia\n\n\nAlex Johnson\n\n", "player_emails": "[\"jessica.smith@email.com\", \"david.brown@email.com\", \"emma.williams@email.com\", \"michael.jones@email.com\"]" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "categories", "difficulty", "game_title", "host_name", "question_count" ], "given_keys": [ "categories", "difficulty", "game_title", "host_name", "question_count" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "player_emails", "session_id" ], "given_keys": [ "player_emails", "session_id" ] } ] }, { "prompt": "I'm tasked with enhancing the security of our telecommunications network 'net_00", "reply_first_160": "\n\n\nnet_001\n\n\nAES-256\n\n\n\n\nNatureFan88\n\n\nEcoLover2023!\n\n\n", "expected_call": true, "n_calls": 1, "calls": [ { "name": "authenticate_user", "arguments": { "username": "NatureFan88", "password": "EcoLover2023!" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "password", "username" ], "given_keys": [ "password", "username" ] } ] }, { "prompt": "I would like to enhance our telecom CRM system with several updates. Firstly, I ", "reply_first_160": "\n\n\nJD_8098\n\n\n{\"address\": \"1234 Telecom Lane, Datacity", "expected_call": true, "n_calls": 4, "calls": [ { "name": "update_customer_profile", "arguments": { "customer_id": "JD_8098", "profile_updates": "{\"address\": \"1234 Telecom Lane, Datacity, DC 90909\", \"email\": \"john.doe@email.com\", \"phone_plan\": \"Unlimited Data Plan\"}" } }, { "name": "track_service_usage", "arguments": { "customer_id": "JS_1002", "start_date": "2023-03-01", "end_date": "2023-03-31" } }, { "name": "manage_support_tickets", "arguments": { "ticket_id": "TKT_4321", "status": "Resolved", "resolution_notes": "Replaced faulty router, service restored." } }, { "name": "analyze_customer_feedback", "arguments": { "feedback_data": "{\"feedback_file\": \"customer_feedback.json\"}" } } ], "scores": [ { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "customer_id", "profile_updates" ], "given_keys": [ "customer_id", "profile_updates" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "customer_id", "end_date", "start_date" ], "given_keys": [ "customer_id", "end_date", "start_date" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "resolution_notes", "status", "ticket_id" ], "given_keys": [ "resolution_notes", "status", "ticket_id" ] }, { "parse": true, "name_ok": true, "schema_ok": true, "expected_keys": [ "feedback_data" ], "given_keys": [ "feedback_data" ] } ] } ] }, { "section": "code_sanity", "n_prompts": 15, "ast_rate": 0.06666666666666667, "compile_rate": 0.06666666666666667, "details": [ { "prompt": "Write a Python function `def is_palindrome(s: str) -> bool:`", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n```" }, { "prompt": "Write a Python function `def merge_intervals(intervals: list", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\nfrom typing import List\\n\\ndef merge_intervals(intervals: List[List[int]]) -> List[List[int]]:\\n if not intervals:\\n return []\\n \\n #" }, { "prompt": "Write a Python function `def two_sum(nums: list[int], target", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n```" }, { "prompt": "Write a Python function `def flatten(nested: list) -> list:`", "ast_ok": true, "compile_ok": true, "reply_first_160": "```python\ndef flatten(nested: list) -> list:\n result = []\n for item in nested:\n if isinstance(item, list):\n result.extend(flatten(item))" }, { "prompt": "Write a Python function `def parse_csv_line(line: str) -> li", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\nimport csv\\n\\ndef parse_csv_line(line: str) -> list[str]:\\n reader = csv.reader([line], dialect='excel', quoting=csv.QUOTE_MINIMAL)\\n return ne" }, { "prompt": "Write a Python function `def lru_cache(k: int):` returning a", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\nfrom collections import OrderedDict\\ndef lru_cache(k: int):\\n def decorator(func):\\n cache = OrderedDict()\\n def wrapper(*args, **kw" }, { "prompt": "Write a Python function `def is_anagram(a: str, b: str) -> b", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n```" }, { "prompt": "Write a Python function `def topological_order(graph: dict[s", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\ndef topological_order(graph: dict[str, list[str]]) -> list[str] | None:\\n # Create a set of all nodes in the graph\\n nodes = set(graph.keys())\\" }, { "prompt": "Write a Python function `def tokenise(s: str) -> list[str]:`", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n```\n" }, { "prompt": "Write a Python function `def slugify(text: str) -> str:` pro", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\nfrom unicodedata import normalize\\n\\ndef slugify(text: str) -> str:\\n # Normalize the text to NFKD form\\n normalized = normalize('NFKD', text)\\" }, { "prompt": "Write a Python function `def read_jsonl(path: str) -> list[d", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\nimport json\\n\\ndef read_jsonl(path: str) -> list[dict]:\\n with open(path, 'r') as f:\\n for line in f:\\n yield json.loads(line)\\n" }, { "prompt": "Write a Python function `def binary_search(arr: list[int], t", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n```" }, { "prompt": "Write a Python function `def unique_in_order(s: str) -> list", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n result = []\\n for i, char in enumerate(s):\\n if not result or result[-1] != char:\\n result.append(char)\\n return result\\n" }, { "prompt": "Write a Python function `def safe_eval(expr: str) -> int:` e", "ast_ok": false, "compile_ok": null, "reply_first_160": "```python\\n\\ndef safe_eval(expr: str) -> int:\\n def tokenize(s):\\n tokens = []\\n i = 0\\n while i < len(s):\\n if s[i].isdigit(" }, { "prompt": "Write a Python function `def dedupe_preserve_order(items: li", "ast_ok": null, "compile_ok": null, "reply_first_160": "```python\\n seen = set()\\n result = []\\n for item in items:\\n if item not in seen:\\n seen.add(item)\\n result.append(item)\\" } ] }, { "section": "security_mcq", "error": "ValueError(\"Bad split: train. Available splits: ['test']\")", "skipped": true } ] }