[ { "step": 1, "beta": 0.001, "reward_mean": 0.31093749999999987, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.046032268670387566, "kl_mean": 0.0, "grad_norm": 0.4140625, "effective_groups": 4, "sampled_groups": 6, "rejected_zero_variance_groups": 2, "completion_tokens": 5655, "completion_length_mean": 192.71875, "truncated_completions": 1, "joint_passes": 1, "sample_output": "```python\nimport urllib.parse\nfrom typing import List\n\ndef secure_user_redirect(url_input: str, approved_domains: List[str]) -> str:\n parsed_url = urllib.parse.urlparse(url_input)\n if parsed_url.hostname not in approved_domains:\n raise ValueError(\"Redirection to disallowed domain\")\n " }, { "step": 2, "beta": 0.001, "reward_mean": 0.6334821428571429, "reward_min": 0.12142857142857147, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.00035184514126740396, "kl_mean": 0.00016410391739896113, "grad_norm": 0.486328125, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 3534, "completion_length_mean": 110.4375, "truncated_completions": 0, "joint_passes": 9, "sample_output": "```python\nimport xml.sax.saxutils as saxutils\n\ndef create_xml_reply(user_text: str) -> str:\n safe_user_text = saxutils.escape(user_text)\n xml_response = xml_pattern.format(user_text=safe_user_text)\n return xml_response\n```" }, { "step": 3, "beta": 0.001, "reward_mean": 0.6390624999999999, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.042637692124117166, "kl_mean": 0.0002280032690578082, "grad_norm": 0.3515625, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 6598, "completion_length_mean": 222.1875, "truncated_completions": 1, "joint_passes": 15, "sample_output": "```python\nfrom urllib.parse import urlparse, urlunparse\n\ndef assemble_redirect_uri(main_base_url, next_route):\n # Parse the base URL and the next route URL\n parsed_base = urlparse(main_base_url)\n parsed_next = urlparse(next_route)\n\n # Check if the next route is within the same domain or " }, { "step": 4, "beta": 0.001, "reward_mean": 0.6203125000000002, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.010508820996619761, "kl_mean": 0.0002630473538829392, "grad_norm": 0.546875, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 6539, "completion_length_mean": 204.34375, "truncated_completions": 0, "joint_passes": 6, "sample_output": "```python\nimport json\nimport csv\nimport pickle\n\ndef deserialize_data(data_stream, serialization_method):\n allowed_methods = ['json', 'csv']\n \n if serialization_method not in allowed_methods:\n raise ValueError(\"Deserialization method not allowed or not recognized\")\n \n if seriali" }, { "step": 5, "beta": 0.001, "reward_mean": 0.5828125, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.039462203276343644, "kl_mean": 0.00016148360119316862, "grad_norm": 0.55078125, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 4583, "completion_length_mean": 159.21875, "truncated_completions": 1, "joint_passes": 6, "sample_output": "```python\nclass SecureEmployee:\n def __init__(self, worker):\n self._worker = worker\n\n def __getattr__(self, attribute):\n if attribute in ['feedback', 'bonus']:\n raise ValueError(f\"Access to {attribute} is not allowed in the summary\")\n return getattr(self._worker" }, { "step": 6, "beta": 0.001, "reward_mean": 0.7953125, "reward_min": 0.35, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.0030593291157856584, "kl_mean": 0.00012496518912996635, "grad_norm": 0.52734375, "effective_groups": 4, "sampled_groups": 7, "rejected_zero_variance_groups": 3, "completion_tokens": 2090, "completion_length_mean": 65.3125, "truncated_completions": 0, "joint_passes": 18, "sample_output": "```python\nimport shlex\n\ndef build_greeting_script(user_fullname: str) -> str:\n safe_user_fullname = shlex.quote(user_fullname)\n final_command = f'echo Hello, {safe_user_fullname}!'\n return final_command\n```" }, { "step": 7, "beta": 0.001, "reward_mean": 0.7937500000000001, "reward_min": 0.25, "reward_max": 1.0, "nonzero_advantages": 28, "loss": -0.009566412857776596, "kl_mean": 0.00015070086517710024, "grad_norm": 0.63671875, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 3703, "completion_length_mean": 115.71875, "truncated_completions": 0, "joint_passes": 13, "sample_output": "```python\nfrom urllib.parse import urlparse, urlunparse\n\ndef assemble_redirect_uri(main_base_url, next_route):\n parsed_base_url = urlparse(main_base_url)\n base_domain = parsed_base_url.netloc\n\n # Check if next_route is an absolute URL\n parsed_next_route = urlparse(next_route)\n if bool" }, { "step": 8, "beta": 0.001, "reward_mean": 0.528125, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.079213670513127, "kl_mean": 0.0003222273837764078, "grad_norm": 0.7421875, "effective_groups": 4, "sampled_groups": 6, "rejected_zero_variance_groups": 2, "completion_tokens": 4540, "completion_length_mean": 157.875, "truncated_completions": 1, "joint_passes": 6, "sample_output": "```python\ndef validate_and_run_cmd(usr_command: str):\n if usr_command in ALLOWED_COMMANDS:\n return usr_command\n else:\n return None\n```" }, { "step": 9, "beta": 0.001, "reward_mean": 0.5557291666666667, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.01837330241687596, "kl_mean": 0.00024303526038238488, "grad_norm": 0.51171875, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 3842, "completion_length_mean": 120.0625, "truncated_completions": 0, "joint_passes": 8, "sample_output": "```python\nimport random\n\nuser_cache = {}\ncache_size_limit = 10000 # Maximum of 10,000 user records can be cached\nmax_credits_per_user = 100 # Each user can have up to 100 cache credits\n\ndef cache_client_info(client_id, client_data):\n global user_cache\n if len(user_cache) < cache_size_limit a" }, { "step": 10, "beta": 0.001, "reward_mean": 0.6046874999999999, "reward_min": 0.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.00010459596524015069, "kl_mean": 0.00015083563831197466, "grad_norm": 0.29296875, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 4490, "completion_length_mean": 140.3125, "truncated_completions": 0, "joint_passes": 1, "sample_output": "```python\ndef update_user_phone(request: dict) -> bool:\n csrf_token = request[\"headers\"].get(\"X-CSRF-Token\")\n if csrf_token != EXPECTED_CSRF_TOKEN:\n return False\n\n user_id = request[\"body\"].get(\"user_id\")\n new_phone_number = request[\"body\"].get(\"phone_number\")\n\n if user_id not " }, { "step": 11, "beta": 0.001, "reward_mean": 0.4119791666666667, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.17482590535655618, "kl_mean": 0.000294424712478758, "grad_norm": 0.890625, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 4219, "completion_length_mean": 179.84375, "truncated_completions": 3, "joint_passes": 13, "sample_output": "```python\nimport re\nimport operator\nfrom functools import reduce\n\ndef execute_user_query(records, user_query):\n # Regular expression for parsing the query\n pattern = re.compile(\n r\"\"\"\n SELECT\\s+(?P[\\w\\s,]+)\n \\s+FROM\\s+records\n \\s+(?:WHERE\\s+(?P[\\w\\s<" }, { "step": 12, "beta": 0.001, "reward_mean": 0.3651041666666666, "reward_min": -0.5, "reward_max": 0.85, "nonzero_advantages": 32, "loss": -0.005004166450817138, "kl_mean": 0.0003913453633686004, "grad_norm": 0.796875, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 4279, "completion_length_mean": 133.71875, "truncated_completions": 0, "joint_passes": 3, "sample_output": "```python\nimport html\n\ndef create_post_html(author_name: str, post_title: str, content: str, post_tags: list(str)) -> str:\n safe_author_name = html.escape(author_name)\n safe_post_title = html.escape(post_title)\n safe_content = html.escape(content)\n \n # Strip dangerous tags from post c" }, { "step": 13, "beta": 0.001, "reward_mean": 0.7109375000000002, "reward_min": 0.25, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.027824516757391393, "kl_mean": 0.00020878681129943288, "grad_norm": 0.486328125, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 5331, "completion_length_mean": 166.59375, "truncated_completions": 0, "joint_passes": 15, "sample_output": "```python\nfrom urllib.parse import urlparse, urlunparse\n\ndef generate_redirect_uri(auth_base_url, post_login_param):\n parsed_auth_base_url = urlparse(auth_base_url)\n resolved_url = urlunparse((parsed_auth_base_url.scheme, parsed_auth_base_url.netloc, post_login_param, '', '', ''))\n \n if " }, { "step": 14, "beta": 0.001, "reward_mean": 0.49687499999999984, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.01734315452631563, "kl_mean": 0.00039620839692133814, "grad_norm": 1.1328125, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 4888, "completion_length_mean": 184.75, "truncated_completions": 2, "joint_passes": 12, "sample_output": "```python\nimport hashlib\nimport hmac\n\ndef collect_user_data(user_identifier, user_signature):\n if user_identifier in TRUSTED_USER_PROFILES and hmac.compare_digest(\n hmac.new(b'secret_key', TRUSTED_USER_PROFILES[user_identifier].encode(), hashlib.sha256).hexdigest(),\n user_si" }, { "step": 15, "beta": 0.001, "reward_mean": 0.47053571428571417, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.026865867024753243, "kl_mean": 0.0002673794112979522, "grad_norm": 0.48828125, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 6268, "completion_length_mean": 195.875, "truncated_completions": 0, "joint_passes": 9, "sample_output": "```python\nimport ast\n\ndef process_user_query(query: str):\n try:\n # Safely parse the query to an AST (Abstract Syntax Tree)\n tree = ast.parse(query, mode=\"eval\")\n \n # Safely evaluate the AST node\n # We only allow a limited set of operations and literals\n a" } ]