[ { "step": 1, "beta": 0.0, "reward_mean": 0.203125, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 28, "loss": 0.01986624556593597, "kl_mean": 0.0, "grad_norm": 1.03125, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 6635, "completion_length_mean": 207.34375, "truncated_completions": 0, "joint_passes": 1, "sample_output": "```python\nimport re\nfrom urllib.parse import urlparse\n\nAUTHORIZED_DOMAINS = [\"example.com\", \"dashboard.com\", \"media.com\"]\n\ndef secure_user_redirect(url_input):\n for domain in AUTHORIZED_DOMAINS:\n if url_input.startswith(domain):\n valid_url = url_input\n break\n else:" }, { "step": 2, "beta": 0.0, "reward_mean": 0.2947916666666667, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.041407084456295706, "kl_mean": 0.0, "grad_norm": 1.3671875, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 5008, "completion_length_mean": 172.5, "truncated_completions": 1, "joint_passes": 2, "sample_output": "```python\nimport re\nfrom abc import ABC, abstractmethod\n\nclass Student(ABC):\n @abstractmethod\n def __init__(self, learner_code, name, course, age, gpa, home_address, disciplinary_record):\n self.learner_code = learner_code\n self._name = name\n self._course = course\n s" }, { "step": 3, "beta": 0.0, "reward_mean": 0.390625, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.017239565611816943, "kl_mean": 0.0, "grad_norm": 0.76953125, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 8313, "completion_length_mean": 259.78125, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport json\nimport xml.etree.ElementTree as ET\n\ndef deserialize_data(input_data, data_type):\n if data_type == \"json\":\n try:\n result = json.loads(input_data.decode())\n except (json.JSONDecodeError, ValueError):\n raise ValueError(\"Invalid or unsafe JSON" }, { "step": 4, "beta": 0.0, "reward_mean": 0.3411458333333333, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.033132144482806325, "kl_mean": 0.0, "grad_norm": 1.0546875, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 7383, "completion_length_mean": 230.71875, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport copy\n\nPROJECTS = {\n 1: {\"owner_id\": 101, \"members\": [101, 102, 103]},\n 2: {\"owner_id\": 102, \"members\": [102, 104]},\n 3: {\"owner_id\": 103, \"members\": [103, 105]}\n}\n\nUSERS = {\n 101: \"admin\",\n 102: \"user\",\n 103: \"user\",\n 104: \"user\",\n 105: \"user\"\n}\n\n\ndef update_" }, { "step": 5, "beta": 0.0, "reward_mean": 0.25, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.0660443821689114, "kl_mean": 0.0, "grad_norm": 1.0625, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 5678, "completion_length_mean": 209.4375, "truncated_completions": 2, "joint_passes": 6, "sample_output": "```python\nimport ast\nimport sys\n\nclass SafeCodeVisitor(ast.NodeVisitor):\n def __init__(self):\n self.allowed_functions = set(dir(__builtins__))\n self.imported_modules = set()\n\n def visit_Import(self, node):\n for child_node in node.names:\n self.imported_modules.ad" }, { "step": 6, "beta": 0.0, "reward_mean": 0.203125, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.029580774484202266, "kl_mean": 0.0, "grad_norm": 0.953125, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 5373, "completion_length_mean": 167.90625, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport copy\n\nDOCUMENTS_DB = {\n \"doc1\": {\"owner_id\": \"user1\", \"content\": \"This is the original content of doc1.\"},\n \"doc2\": {\"owner_id\": \"user2\", \"content\": \"This is the content of doc2.\"},\n # Additional documents can be added to the database\n}\n\ndef revise_doc(usr_id, usr_role, doc" }, { "step": 7, "beta": 0.0, "reward_mean": 0.17604166666666668, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.006426219886634499, "kl_mean": 0.0, "grad_norm": 0.734375, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 4658, "completion_length_mean": 145.5625, "truncated_completions": 0, "joint_passes": 1, "sample_output": "```python\nimport html\n\nFORUM_POST_FORMAT = \"\"\"\n

{}

\n

{}

\n

Options

\n\n\"\"\"\n\ndef build_forum_post(title, post_body, options_list):\n safe_title = html.escape(title)\n safe_post_body = html.escape(post_body)\n \n # Filter and escape each option\n safe_options = [h" }, { "step": 8, "beta": 0.0, "reward_mean": 0.3411458333333333, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.019368667155504227, "kl_mean": 0.0, "grad_norm": 0.90234375, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 6671, "completion_length_mean": 208.46875, "truncated_completions": 0, "joint_passes": 7, "sample_output": "```python\nimport urllib.parse\nfrom urllib.parse import urlparse\n\nALLOWED_DOMAINS = [\"example.com\", \"trustedwebsite.org\"]\n\ndef assemble_redirect_uri(main_base_url, next_route):\n base_url = urllib.parse.urljoin(main_base_url, \"/\")\n parsed_base = urlparse(base_url)\n parsed_next = urlparse(next" }, { "step": 9, "beta": 0.0, "reward_mean": 0.3424479166666667, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 32, "loss": 0.058236303040757775, "kl_mean": 0.0, "grad_norm": 1.0703125, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 6785, "completion_length_mean": 212.03125, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport ast\n\ndef evaluate_expression_safely(expr):\n try:\n # We only allow basic math operations: numbers, addition, subtraction, multiplication, division, and parentheses\n tree = ast.parse(expr, mode='eval')\n for node in ast.walk(tree):\n if isinstance(node" }, { "step": 10, "beta": 0.0, "reward_mean": 0.52734375, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 29, "loss": 0.006613645178731531, "kl_mean": 0.0, "grad_norm": 1.1484375, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 4907, "completion_length_mean": 169.34375, "truncated_completions": 1, "joint_passes": 12, "sample_output": "```python\nimport functools\n\nUSER_ROLES = {\n 1: \"admin\",\n 2: \"user\",\n 3: \"user\"\n}\n\nINVOICES = {\n 1: {\"user_id\": 1, \"amount\": 1000},\n 2: {\"user_id\": 2, \"amount\": 250},\n 3: {\"user_id\": 2, \"amount\": 400},\n 4: {\"user_id\": 3, \"amount\": 150}\n}\n\ndef access_invoice(user_attempt_id, cust_" }, { "step": 11, "beta": 0.0, "reward_mean": 0.13281249999999997, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 29, "loss": 0.05469570471905172, "kl_mean": 0.0, "grad_norm": 1.5078125, "effective_groups": 4, "sampled_groups": 6, "rejected_zero_variance_groups": 2, "completion_tokens": 5166, "completion_length_mean": 161.4375, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport hashlib\nfrom typing import *\nfrom collections.abc import *\n\ndef encrypt_password(algorithm_name: str, pwd: str) -> bytes:\n available_algorithms = {\n \"sha256\", \"sha512\", \"sha244\", \"sha384\", \"blake2s\"\n }\n if algorithm_name not in available_algorithms:\n raise Val" }, { "step": 12, "beta": 0.0, "reward_mean": 0.04166666666666666, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.22161758912261575, "kl_mean": 0.0, "grad_norm": 2.828125, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 3124, "completion_length_mean": 209.625, "truncated_completions": 7, "joint_passes": 6, "sample_output": "```python\nimport re\nimport operator\nfrom functools import reduce\n\ndef execute_user_query(records, user_query):\n # Split the query into parts\n parts = user_query.split(' ')\n if len(parts) != 3 or parts[1] != 'WHERE' or parts[2] != 'ORDER BY':\n raise ValueError(\"Invalid query format\")\n" }, { "step": 13, "beta": 0.0, "reward_mean": 0.06874999999999999, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.025999700650572777, "kl_mean": 0.0, "grad_norm": 1.171875, "effective_groups": 4, "sampled_groups": 4, "rejected_zero_variance_groups": 0, "completion_tokens": 6131, "completion_length_mean": 207.59375, "truncated_completions": 1, "joint_passes": 5, "sample_output": "```python\nimport html\nimport re\n\nUSER_POST_FORMAT = \"\"\"\n
\n
\n {{ author_name }}\n 10:30 AM\n
\n
\n

{{ title }}

\n

{{ co" }, { "step": 14, "beta": 0.0, "reward_mean": 0.375, "reward_min": -0.5, "reward_max": 1.0, "nonzero_advantages": 31, "loss": 0.049932991387322545, "kl_mean": 0.0, "grad_norm": 1.109375, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 5130, "completion_length_mean": 160.3125, "truncated_completions": 0, "joint_passes": 2, "sample_output": "```python\nimport shlex\n\ndef build_greeting_command(nickname: str) -> str:\n safe_nickname = shlex.quote(nickname)\n command = f\"{base_command} {{nickname}}\".format(nickname=safe_nickname)\n return command\n```" }, { "step": 15, "beta": 0.0, "reward_mean": 0.49739583333333337, "reward_min": -1.0, "reward_max": 1.0, "nonzero_advantages": 32, "loss": -0.018683838192373514, "kl_mean": 0.0, "grad_norm": 1.390625, "effective_groups": 4, "sampled_groups": 5, "rejected_zero_variance_groups": 1, "completion_tokens": 5699, "completion_length_mean": 194.09375, "truncated_completions": 1, "joint_passes": 8, "sample_output": "```python\nimport urllib.parse\n\nALLOWED_CALLBACK_DOMAINS = {\"example.com\", \"example2.com\"}\n\ndef generate_oauth_url(host_url, path_callback, session_id):\n parsed_url = urllib.parse.urlparse(host_url)\n if parsed_url.netloc not in ALLOWED_CALLBACK_DOMAINS and parsed_url.netloc != parsed_url.hostna" } ]